User Manual - basICColor
Contents
1. basICColor MProve because it simply works Color pP fen COEM 2 About This Manual 2 1 Installation and Licensing Please refer to the separate manual baslCColor Licensing pdf 2 2 Conventions For better undrestanding we try to adhere to a consistent style for the different GUI elements basICColor products are in italic type face The Tools are in bold Buttons Tabs Check Boxes and Radio Buttons are bold and in angle brackets Names of windows or window areas and other elements are in quotes Hints tips warnings and links are in bold italic Chapter 3 Operator s Guide baslCColor MProve nash because it simply works ow 3 Operator s Guide 3 1 Overview CC olo aPrOv Li n gt 7 314 OT IMPr TET AT 4 ove Tools Data Sets History Measurement files Patches DCS Domtar Vividjert AvgSmoorhedo3 icc 1617 CMYK Lab xX K ww pate Li Averagin Merge gng 9 Delete _ Report Load View _ Compare basICColor IMProve v2 1 Copyright c 2011 2013 basICColor GmbH All Rights Reserved NFR License The various Tools are located in the left area of the program window You can apply these tools to any measurement data loaded in the Data Sets area Data Sets Measurement files Patches DCS CIE PSO Paper Type 1 txt 1617 CMYK Remission basICColo2. User Manual MProve bash because it simply works Table Of Content AOR ERAGE 5 Z ABOUT THIS MANUAL 6 2 1 Product Registration And LICENSING 7 2 20 7 OPERATOR S GUIDE M 8 Rei 9 2 2 13 JATAV OMAL 13 15 2c DC OFRECE 18 rye MEN 19 21 3 2 5 Correction of optical brighteners s 23 22 50H Ve Ludis Rui HE UEM EUNDI DI MEE 25 GI OAT M 28 25 The View WiNdOW 31 VA NEU E 32 V W E E EO 35 TINA P 36 de F Wer basICColor MProve because it simply works 33 4 Spider 38 38 3 4 The Compare WINdOW 39 S2 TC OI OF COMA GSO e mt RO RUN EDU CUIRE 40 CIL ever 43 pO UN AU Y OAO 44 3 5 Creating a PDF report for a measurement file 45 mar eet 48 20I DIPA DENSI aes 48 gO ARPO AEE E OEE rere 48 FO LO 48 4 PRODUCT INFORMATION BASICCOLOR IMPROVE eee eere 49 CO
3. bas Co lor Fi a d basICColor MProve because it simply works With the option Correction according to TVI targets and the eoe Custom Tone Values Black T lt Edit gt option you can apply very detailed manual correc 2 0 2 0 El n tions to each channel Smooth will reduce the curves 520 7 0 6 4 a S 3 3 to 20 steps and thus smoothen the TVI curves Add 5 20 0 15 2 309 197 and Delete lets you add or remove points in the curves wo s 0 60 0 22 2 wm ik value 69 70 0 20 0 30 Add Delete Smooth 25 2 Tone Value Increase 70 80 90 100 0 10 20 30 40 5 60 Ink Value 35 This option can be applied to CMYK and multicolor data MProve will show the number of channels accord ing to the data selected 2 basICColor MProve bast Golor because it simply works ICC Transformation 3 2 8 ICC Transformation With the ICC Transformation tool you can use both ICC device and DeviceLink profiles on data loaded into baslCColor MProve in order to synthetically test the impact of an ICC color conversion with up to three profiles In this example we would like to explain how exactly a Savelnk DeviceLink profile works Open the same large test chart layout e g IT8 7 4 twice via File Open Predefined The CMYK reference values of this test chart will be opened Select one of the two opened
4. 2D a rotating 3D view of the gamut the tone value increase curves lt TVI gt a 2 dimensional aerial view of the color space Spider Web and the linearity of the different color ramps Curves eoe View PSO Paper Type 1 txt Remission 3D Spider Web Curves 1617 Remission Patches Show Redundancies Show Density _ Fit to width 31 IMProve UEM because it simply works 3 3 1 The 2D View In the 2D View window you see all the patches of the chart in a layout defined by the measurement file The status line below the tabs shows the number of patches On mouse over this status line also shows the patch number the Lab value and the device value RGB CMYK Multicolor of the respective patch eso va The checkbox Show Redundancies gt emphasizes all redun Solder Wed Curves dant patches with a colored border Thus you can easily ORS detect the redundant patches and where they are located in the test chart layout These patches would be reduced to one each if you work with the Redundancies tool The checkbox Show Density will display densities accord ing to the standard you have selected in Preferences instead of the Lab values The densities are being calcualted from spectral data and can be displayed only if the measurement values are spectral data If not the checkbox Show Density will not be visible oe Reference 3
5. 2D 3D TV Spide Web zm Linearity White Black 3 3 4 The Spider Web View The next tab Spider Web shows an aeria view of the color gamut an a b diagram The measured values respectively the optimized data are depicted in a graph resembling a spider web If you click on the different steps in History you can see the changes here as well 3 3 5 The Curves View In the Curves view you can select the different gradation curves ranging from white to the 100 tone values of all the primary and secondary colors This allows you to assess the linearity of the gradients and to detect inhomogeneous behavior Note Colorimetric linearity measured in Lab AE 76 means that a Y value of 5o 6in a primary or secondary color is equidistant from the left white as from the right 100 border of this diagram 4 38 basICColor IMProve because it simply works 3 4 The Color Comparison Window Compare two measurement files or one measurement file before and after optimization with the help of the Color Comparison window 000 Color Comparison PSO Paper Type 1 txt Remission PSO Paper Type 1 RemovedRedundancies C 5 Graph Statistic Compare Mode Delta Auto Display Differences Fit chart to width Mark From 1 0 Mark To 0 aL 4000 1430 Lab 48 19 74 19 1 46 48 72 73 01 1 10 Delta 1 34 basit Co
6. extremely difficult to achieve a print free of artifacts from a large IT8 7 4 test chart The procedure of position ing several small test charts e g Ugra FOGRA Mediawedge 3 averaging them in basICColor MProve and then scaling up to a large ECl2002 test chart with the Rescale tool is more efficient Select the measurement file that you want to scale up and click on the Rescale button e Rescale Recalculates the measurement data for a different set of color chart New color patches will be interpolated Please choose the chart you wish to convert to IT8 7 4 B Use characteristic of a reference profile SOcoated v2 bas ICC gt Start Select the desired test chart layout to which the measure ment file should be scaled up 21 basICColor MProve bas Golor because it simply works If you already have an ICC printer profile reference profile that approximately describes your standard to be printed you can select the printer profile by checking the option lt Use characteristics of a reference profile gt If you do not have such a profile do not activate the check mark e When you click Start basICColor MProve will calculate and interpolate the missing color patches from your small chart and create the desired chart layout Save the scaled up measurement value file as a new file by clicking the Save button Note Missing color patches are a
7. in order to allow for a better overview of the patches in your measurement file Single patches in a large chart are hard to assess If you check this option the entire width of the window will be used to show the maximum size of the patches Use the scrollbar to show patches outside the visible area Note Doule clicking a measurement file in the Data sets area of the main window opens a different measurement file and or refreshes the View window Closing and re opening the View window by un checking and checking the View checkbox will perform a refresh as well This is also true for all the other tabs of the View window basl Color dE 34 basICColor MProve basl Color because it simply works eoo View ECI2002random DINA4 EyeOne 002 Brightener Removed 2D 3D TVI Spider Web Curves Zoom 100 eoe View PSO Paper Type 1 Edit txt Remission 20 BE Spider web Curves 3 3 2 The 3D View The tab 3D shows the complete color space defined by the measurement values It is equivalent with the absolute colori metric rendering intent in an ICC profile that would be generated from these measurement data You can rotate the color patches into the desired direction in 3D View by clicking and dragging By dragging the color space in a certain direction and then releasing the mouse button the color space model keep
8. lec 2 PSO 2 300 Glossy laminate EC 3 Tone Value Increase Curves The checkbox Check Quality should always be checked It will add over and above a pure fact sheet an assessment of the most important print relevant parameters Click the Start button and the PDF report with the assigned name will be created at the specified location and opened in your PDF viewer The different report pages provide an insight into 1 a general overview with target type the device color space the number of patches measurement instrument and measure condition as well as information on the different channels 2 the printing standard the selected reference profile and the best match the amount of optical brighteners and the estimated effect that the use of the Brightener tool would have as well as the accuracy with which the data represent the reference profile 3 The tonal value increase curves TVI graphically and numeri cally By switching the layers of the PDF report you can have the different TVI curves displayed 4 Ji NO ereme 46 basICColor MProve bash because it simply works 4 The gamut representation Spider Web 5 The results of the test on the matching of redundant color patches Quality section measurement or printing errors and the smoothness of the measurement file By switching on and off the different layers in the PDF file you can display the
9. model you selected 46 41 15 60 54 8 11 36 8 Delta 42 53 If you point to an area left or right of the target patches the display of the single color values changes to the maximum color difference with the respective patch number 878 and the average across all patches Maximum ID 3 55 878 Average 1 24 If you select Delta Auto as your Compare Mode you can even compare data containing only device values RGB CMYK MultiColor A colorimertric comparison is not possible in this case You will see the differences in device values instead Yet if spectral values have been saved with the device values these will be used for color comparison The tolerancing model is in this case oe Reference 41 basICColor MProve basa Co because it simply works The checkbox Display Differences marks patches with color differences These are defined by the tolerances selected with the 2 sliders Mark From and Mark To gt eoe Color Comparison PSO Paper 1 txt Remission __ __ PSO Paper Type 1 Smoothed txt Remission 3 Graph Statistic Compare Mode Delta Auto Display Differences Fit chart to width Mark From 3 a0 Mark 100 0 1397 Lab 88 27 3 69 93 70 88 37 3 73 91 22 Delta 2 48 000 HE The Fit chart to width checkbox is also available in the Colors tab in the Color Comparison window 42 o
10. reference files Since this file contains CMYK values only just Redundancies and ICC Transformation are active all other options are grayed out Select the original printer profile with which you created your Savelnk profile ICC Transformation Uses ICC profiles to convert device data to Lab ISOcoated v2 300 bas ICC Absolute Colori 2 Absolute Colori 2 EE E gt Absolute Colori Lm de F Wer 28 basICColor MProve basl Color oe Reference because it simply works The Transformation tool of baslCColor IMProve 2 supports demo and serial ized ICC profi les created in baslCColor Devil Furthermore only ICC profiles and CMYK DeviceLinks are shown if just CMYK measure ment or reference data have been loaded This simplifies the profile selection and avoids unwanted error messages Convert the reference file to Lab with the Absolute Colori metric rendering intent Now select the second reference file First apply the Savelnk Devicelink profile and secondly the original printer profile with the absolute colorimetric rendering intent In addition to converting the reference file to Lab the CMYK values have also been changed with the Savelnk profile Q ICC Transformation Uses ICC profiles to convert device data to Lab DL ISOcoated v2 SaveStrong300 bas icc Absolute Colori EOM v Absolute C
11. 2 basICColor MProve because it simply works Double clicking on a color patch opens 2 additional windows Color values e The Color Values window allows to change the Lab values of picchucalqnuaus this patch Please use this function with utmost care It may invalidate the entire measurement file if nter wron REM invalidate the e sureme e if you enter wrong values here m The Spectrum window displays the relative spectral remis Ha us sion curve Y axis of the measured color for each wavelength 5 X axis Use this to check for example the paper white 00 600 Wavelength nm measurement for the strength of the optical brightener Optical brighteners in papers have a very characteristic curve shape _ Scale to maximal relative spectral power Use the checkbox Scale to maximal relative spectral power for optimal adjustment of the spectral curve in the display window Rel Spectral Power 500 600 Wavelength nm Scale to maximal relative spectral power Note The spectral window is only available for spectrally measured colors If you hold the mouse button down and move over the patches in the 2D view the spectral curve will be updated to show the spectrum of the respective patch bas Golor Fi UM Reference 33 basICColor MProve because it simply works The checkbox Fit to width scales the chart dynamically to the full width of the View window
12. 3 5 Creating a PDF report for a measurement file If you do not know whether your measurement data is suitable for further processing e g for the creation of profiles or needs to be corrected you can create a Report from the main window This report is used to verify and graphically display the data and to provide recommendations for corrections Before you use one of the tools select the one measurement file and click the Report button mca This opens the report dialog where you specify the path for E EE E E ERE saving the report by clicking the Select button and enter Rol ll ee a file name in Report file Check Quality The checkbox Check print standard allows you to select a reference profile for comparing your measurement values The checkbox Find best printing standard will automati cally select the ICC profile that matches the measurement data best for a comparison from the list of your ICC profiles If you check both Check print standard gt and Find best printing standard the comparison will be with the reference profile but a better match will be suggested if available oe Reference 45 basICColor MProve bast Golor because it simply works le IMProve Measurement Data Report 2014 11 22 Uruck arbe angegenen hen Bedrocksto angegeben hem XYZ 1 410403 1 461271 1 200629 1 GRACOL2006 Coated 1 GCR bas
13. DE X 50 bast Co ib PANI M d Chapter 1 basICColor MProve because it simply works bas Golor Y Fi 1 Preface basICColor MProve is a software solution to enhance measurement data prior to profiling In many instances measurement data are not perfect and therefore result in inferior quality when creating ICC profiles There might be reading errors from the measuring instrument or print errors or other artifacts e g inhomogeneous data resulting in a less than perfect measurement data quality baslCColor MProve is the perfect tool for optimizing the measurement data and to intelligently averaging multiple data sets Many options for various tasks are available leaving nothing to be desired Optical brigthener correction for paper or tone value curve adaptation to various specifi cations e g according to G7 are possible with baslCColor IMProve just to name a few The quality of ICC profiles is very dependent on the quality of the measurement data With analyzing and optimizing measurement data a higher profile quality is achievable which results in a higher reliability of the printing process Thus basiCColor MProve is the perfect companion for our profilers basICColor dropRGB baslCColor CMYKick and baslCColor print but also for any other printer profiling tool in the market be it ICC compliant or not Chapter 2 About This Manual
14. Dar jos KAMMER dd 39 MProve UEM k Ref because it simply works 3 4 1 Color Comparison First apply the desired tool to your measurement file e g the Automatic tool Then select the measurement file in the Data Set or the History area Check the Compare checkbox in the main window bottom right in order to open the Color Comparison window Select one measurement fie e g the original one in the left combo box and another one e g the same file after optimiza tion in the right combo box Color Comparison PSO Paper Type 1 txt Remission PSO Paper Type 1 RemovedRedundancies C Now select the desired tolerancing model in the combo box Delta Auto 5 DeltaE 76 v DeltaE 2000 Compare Mode With the sliders Mark From gt and Mark To gt you select the tolerance within color differences are to be marked in the Color Comparison graph 40 basICColor MProve because it simply works 934 Lab 67 47 8 basl Color If you point to a color patch with the mouse the two colors e g before and after optimization will appear separated diagonally in the large color patch in the upper left corner Additionally you will see the patch number 934 in our example the relevant Lab values before and after optimi zation and the color difference according to the tolerancing
15. I2002random DINA4 EyeOne 002 RemovedRedundanci 4 2D 30 TM Spider Web Curves Linearity White Cyan E G ECI2002random DINA4 EyeOne 002 txt Lab 2D 3D TM SpiderWeb Curves Linearity White Cyan E P ma 100 A 100 CY 096 White Cyan There are four different ways to replace redundant values by averaged values in a measurement file basICColor MProve because it simply works a Reference eoo Redundancies Removal of redundancies Redundant measurements will be replaced by equal values Please define the method to calculate the replacement values Auto depends on the number of redundant patches JArithmetic equal for all patches C Median selects typical values Weighted prefers data near the arithmetic average Remove duplicate Patches Cancel OK With Auto different methods are used depending on the number of color patches So it is quite possible that some color patches will be treated using a different method than others As the most intelligent method the Auto method is preferable to the others If only two color patches need to be averaged lt Arithmetic gt i e the arithmetic average of the measurements can be used If there are more than 3 redundant color patches the Auto method uses Weighted or Median For a large number of redundant va
16. Kj Lj ICC Transformation White Correction Averaging Merge Use the large Automatic button in the upper left corner of the program window for an automatic measurement data correction and smoothing The top 2 blocks of tools can be applied to single measurement files A specific sequence in the working method is recommended when optimizing measurement data First clean up redundant color patches Redundancies in the measurement file then correct faulty measurement values Correction and finally smoothen the measurement data Smoothing This sequence is automati cally executed by using the Automatic function Rescale lets you sort patches for better readability and even resize targets to completely different target layouts The tools in the second block from Brightener to White Correction fulfill specific tasks The ICC Transformation tool allows to apply ICC device and Device Link profiles to reference data in order to perform profile tests and comparisons The tools in the third block can be applied to multiple data files only If a tool cannot be used it is greyed out basICColor MProve bast Golor because it simply works Use the Delete button to remove measurement data you don t want to work on any more from the Data Sets section Clear will empty the entire Data Sets area as well as the History lt Report gt will generate a comprehensive PDF report on the selected mea
17. al factors With the Tone Value tool there are three different ways to ensure tone value correction is incorporated perfectly into measurement data Note Based on the color space of the selected data only ICC profiles that fit this color space wil be displayes CMYK and multicolor data are supported The first option Correction according to a given profile lets you select a standard profile and thus the tone value curves of this profile The measurement values are adjusted to achieve exactly those TVI curves Tone Value Increase 25 basICColor MProve Color pP fen COEM because it simply works e Tone Value Corrects the measurements as if the color chart was printed according to a given reference Correction according to a given profile Correction according to G7 Gray Balance Correction according to TVI targets With the option Correction according to G7 Gray Balance the tone value curves are calculated so that they match the gray balance requirements of the American G7 process 25 Tone Value Increase m un o un 0 10 20 30 4 Note The G7 method will correct CMYK values only You can work with multicolor data though Only the CMYK channels will be modified then all other channels will remain unchanged The goal of the G7 method is to achieve a perfectly neutral gray balance in the CMY channels along the L axis 26
18. an basICColor IMProve Ref because it simply works 3 4 2 Graph This view shows the user how much the corrections optimizations take effect on the measurement data In this example you can see that 40 of all the measurement values are modified by a maximum of 1 2 90 of all values will be modified by a maximum 00 of 2 1 And the biggest modifications are in the last 10 90 100 of all measurements with peak AE of 3 2 Color Comparison PSO Paper Type 1 txt Remission PSO Paper 1 RemovedRedundancies C Colors Graph Statistic Maximum 3 2 me Average 1 3 43 basICColor IMProve because it simply works 3 4 3 Statistic The Statistic tab shows statistical values of the changes differ ences between the 2 data sets selected Max DeltaE Average DeltaE Sigma and Median as well as the Deltas of the 10 worst patches and the error distribution from the Graph Tab Color Comparison PSO Paper Type 1 txt Remission Colors Graph Statistic 2 98 971 Distribution 10 Patches lt 20 Patches lt 32 Patches lt 40 Patches lt ek ed at ok oh 100 Patches lt basd Co bor 13 FAM d Ed 44 MProve e because it simply works
19. color patches highlighted with a red border and also view color patches before and after correction and smoothing In addition text assessments in the individual sections give tips on the correction tools to be used in basICColor MProve Last but not least the title of the report can be defined individu ally Additionally you can replace the baslCColor company logo by your own logo These changes are made in the Preferences de F Wer 47 basICColor MProve because it simply works File Wind About baslCColor IMProve Preferences a Services Hide IMProve Hide Others X 36H Quit baslCColor IMProve 0 e Preferences Display Density Status E mainly Europe higher yellow density than Status T Status T mainly America _ Status A mainly photographic industry _ Maximum based on maximum peak Report Settings Title My IMProve Report Reset Remaining 40 Applications ReportLogo tif Reset Load basil Color ur Ji NO ereme 3 6 Preferences In the menu bar you can find the Preferences under baslCColor IMProve 3 6 1 Display Density Here you can define which density standard is to be used through out baslCColor MProve For analog printing systems in Europe you select Status E for photographic output you choose Status A for digital print it may be feasible to choose Maximum based on maximum peak which will produce more ac
20. cting a data set This makes for a better evaluation of the effect of corrections you apply to these curves 4 FA NO ereme 36 basICColor MProve a Reference because it simply works eoe View PSO Paper Type 1 Edit Smoothed TVI txt Remission 2D 3D Spider Web Curves 2 Cyan M Magenta 2 Yellow M Black Keep scaling of Y axis eoe View PSO Paper Type 1 Edit txt Remission PSO Paper Type 1 Smoothed TVI txt Remission v 2D Mu Spider Web Curves 2D 3D Vl Spider Web Curves 82 Cyan Magenta Yellow Black v Magenta v Yellow Black Keep scaling of Y axis Keep scaling of Y axis Mi The center graph shows the original curves with the Y axis scaled optimally On the left you can see the result of the smoothing function if you don t check the Keep scaling of Y axis checkbox The curves are scaled optimally again This results in an offset of the X axis so that the negative Y values are not displayed any more If the checkbox Keep scaling of Y axis is checked though a visual comparison between the original curves and the smoothed curves is much easier as can be seen in the right graph 37 basICColor MProve basl Color because it simply works eoe View PSO Paper 1 Smoothod TVI txt Remission m Curves eoe View PSO Paper Type 1 Smoothed TVI txt Remission
21. curate results 3 6 2 Logo Use your own company logo for all the reports Select any Tiff o first r JPEG file it will be scaled automatically For your new logo to stick you ll have to quit and restart baslCColor MProve Reset will reset the logo to the baslCColor MProve program icon 48 4 Product Information basiCColor IMProve basICColor MProve because it simply works basil Color ur Ji NO ereme 4 Product Information baslCColor IMProve Copyright Information basICColor MProve Copyright 2014 basICColor GmbH All rights reserved Manual Copyright 2014 basICColor GmbH The information in this manual is furnished for informational use only and is subject to change without notice and shall not be construed as a commitment by basICColor GmbH basICColor GmbH assumes responsibility or liability for inaccuracies or erros that may appear in this document No part of this user guide may be reproduced transmitted transcribed or translated into any language without the express written permission of baslICColor GmbH Trademark Information basICColor and the Fingerprint are a registered trademark of basICColor GmbH All other trademarks or registered trademarks are the property of their respective holders Apple Adobe X Rite Konica Minolta Sensing ColorPartner Barbieri Any mention of these trademarks is for demonst rational use only and is not meant to infringe any rig
22. f the paper white is compensated in order to achieve a neutral gray This results for example in an overly yellow gray balance and paper simulation in proo prints To counterbalance this effect the Brightener tool can be used on measurement data Spectral measurement data remission data is required for optimal operation of this tool In the first step of this process the tool analyses the remission curve of the paper white to ascertain whether the paper contains optical brighteners or is merely a blue colored paper The second step is correction but this only takes place if an optical brightener has been detected 23 basICColor MProve because it simply works bast Brightener Detects and corrects brightener measurements of spectral data Factor 96 Cancel Start The correction is continuously variable via a slider control and at 100 a similar result will be achieved as if the paper was measured with a UV cut filter Using the Brightener tool results in modification of the spectral values of the paper white which affects all areas of the measurement file affected by optical brighteners Naturally these will predominantly be the light colors and less so or not at all the shadows or highly saturated colors If the measurement file is available with spectral remission values basICColor MProve will preserve the spectral data Note Correction of the optical bri
23. ghtener is best applied to spectral measurement data remission values Other tools e g Automatic Correction or Smoothing should not be used until after brightener correction has been performed because these tools would convert spectral measured values into Lab values and would therefore render detection of the optical brightener inoperative Correction of the Lab values works with non spectral measured values too but in this case a more basic compensation model is being used oe Reference 24 basICColor MProve basl Color ur because it simply works Tone Value je Tone Value Corrects the measurements as if the color chart was printed according to a given reference Correction according to a given profile ISOcoated v2 bas ICC Correction according to G7 Gray Balance Correction according to TVI targets 25 20 ger 215 i 5 510 3 i 0 30 50 90 100 alue Cyan Use original Cyan Curve Edit Magenta Use original Magenta Curv Yellow Use original Yellow Curve Black Use original Black Curve Cancel OK 3 2 7 Tone Value Let s say you intend to create a suitable profile according to tone value increase properties or gray balance properties of a standard printing condition Even if you try to work as accurately as possible with the CtP curves on the press in order to achieve the desired properties you will always get deviations caused by technical production and metrologic
24. hts of a third party Version 2 0 October 2014 5O
25. lt Start gt to process 13 basICColor MProve basl Color oe because it simply works History Load Data Remove Redundancies Smooth Save As PSO Paper Type 1 RemovedRedundanc a Tags eYou can follow each step in the History section and in the View window if View is active You can revert to an earlier state of the optimization process in the History section Save the optimized measurement data via the Save button as a new file Now you can use the optimized measurement file to create a high quality ICC printer profile with profil ing software like dropRGB basICColor CMYKick or basICColor print Note Some ICC printer profiles store measurement data in a separate tag baslCColor print and other profiling software save measurement data in the ICC profile These data can be extracted by dragging and dropping the tag data onto the Data Sets area of basICColor IMProve basICColor MProve nash Reference because it simply works 3 2 2 Redundancies Redundant color patches especially if they have very different measured values can lead to errors during profile creation Hence it makes sense to average redundant color patches e g 10 Redundanciaes different measurements of the same color and then replace them all by the same averaged value You can do this with the Redundancies tool EC
26. lues both the Median and the Weighted method disregard widely discordant values when averaging baslCColor MProve UEM E rence because it simply works Median is a statistical method that defines the center value lying between two halves of a sorted row of values The Remove duplicate Patches lets you delete excess color patches after averaging by the selected calculating method This setting calculates the color value first then all patches of the same color value are removed except for one Note Emissive data for example multiple spectral readings from a light source saved in one measurement file without any DCS device color space data can be averaged using the Redundancies tool If the measurements are spectral the averaging will be done on a spectral basis 17 basICColor MProve bas Golor y Reference because it simply works Correction 3 2 3 Correction The Correction tool detects faulty or illogical measurements and replaces these with the expected values An example of an illogical measured value would be if the color value of a gradation value were brighter or darker than expected based on the adjacent colors This could be due to unwanted variations in the printing process for example or a color patch that was contaminated during measurement Another example of an illogical measured value would be a green value instead of the expected red color Some
27. mon printing media like textiles or structured Fine Art media can affect the measurements and it s possible that some of the measurements are corrupted In this case it may make sense to smoothen the measurements in order to compensate for the negative effects e g structures that have influence on the measurements basICColor MProve because it simply works bast Color 5 qoM TE Smoothing of the color characteristic This tools uses a smooth interpolation function to correct the measurement data It is recommended to use the correct tool before applying the smoothing Smoothing Factor s c cs v s Q 0 100 100 a oe Protect Lights 6 i i 0 3 50 Cancel Stat The sliders allow to define the weight of the smoothing function Additionally you can exempt the highlight area from smoothing The Automatic tool will always use the maximum strength of the smoothing function Note Always correct measurement errors with the Correction tool before Smoothing Otherwise Smoothing would carry the errors over to neighboring colors 20 basICColor MProve bast Golor ur Wer because it simply works Rescale 3 2 5 Rescale basICColor MProve offers the option of calculating large test charts that can be used for profiling from small test chart measure ment files In some printing processes e g flexo printing on uneven materials it is
28. olori ISOcoated v2 300 eci icc Absolute Colori Fa Start The objective of a Savelnk conversion is to keep the color appearance of the original printer profile as exactly as possi ble despite modified reduced CMYK values i e to achieve the lowest possible color deviations 29 basICColor MProve because it simply works You can now compare both files in the Color Comparison window Open it via the Compare checkbox In the Graph tab you see that the average deviation Average is 0 1 Delta E and the maximum deviation Maximum is 1 9 DeltaE in this example 90 of the deviations 90 percentile do not diverge by more than o 2 DeltaE This is an example of a Savelnk DeviceLink profile that works very exact and that you can create with the Savelnk module in basICColor Devil Color Comparison T8 7 4 ISOcoated v2 bas txt Lab IT8 7 4 DL ISOcoated v2 SaveStrong300 b Colors Statistic Maximum 1 9 mms Average 0 1 bast Co Fi a d 30 baslCColor MProve m do tor because it simply works 3 3 The View Window If you want to analyze a specific measurement file select this file in the Data Sets area first and then click the View button to open the separate View window Five different views allow for a fast overview of all patches of a measurement file
29. r MProve basl Color because it simply works History Load Data Remove Redundanc Correct v View Redundancies Correction Smoothing Rescal rb alue wo r5 Q y et fm 2 s j o 2 m lt C ICC Transformation White Correction t3 Averaging Merge All actions you have taken from loading the data through selection of tools to saving your files are being recorded in the History You can revert to a previous step by selecting the corresponding entry in History at any time The 2 check boxes View and Compare in the bottom right corner of the program window open up additional windows for a close inspection of your measurement data or for comparison of 2 measurement files or a before after comparison All Tools are located in the left part of the program window Tools that cannot be used in a certain situation are greyed out If you select one or more measurement files you can apply the tools to the selected data If data have been loaded but none are selected the respective tool will be applied to all data For a better distinction of your files the names of all tools applied to this file will be added to the file name 4 basICColor MProve because it simply works bas Golor Fi UM Reference Automatic Redundancies W Smoothing Rescale Brightener Tone Value
30. s rotating in the respective direction and speed for up to one minute Another click on the 3D window will stop the movement You increase or decrease the size by using the right hand side lt Zoom gt slider You enlarge or minimize the color patches by using the point size slider on the bottom of the window If you apply a correction step in the History the selected View immediately shows the data linked to this correction step and the effect of the correction 4 35 basICColor MProve bast Golor because it simply works ADO View e 3900 Mitsubishi Av Bright Corr Smooth icc Lab 79 20 30 WM SpiderWeb Curves Magenta M Yellow M Black 3 3 3 The TVI View This Tab allows to analyze the tone value increase curves of a data set If the View window is open during editing curves or other corrections that influence tone values the results can be seen here in real time The checkboxes Cyan Magenta Yellow Black and more in case of MultiColor data you can switch the different channels on and off The TVI curves are scaled to fit the size of the graph window The scaling of the Y axis is adapted to the requirements of the active data set This allows for a precise assessment of the TVI curves The checkbox Keep scaling of Y axis allows to disable the automatic scaling of the Y axis when sele
31. surement file It provides valuable informations e g a recommendation on which tools to use with these data lt Save gt will store the optimized measurement data to file You can load measurement data into the Data Sets section with the lt Load gt button or by dragging a file onto this area Delete Clear Report Save Load M view V Compare 7011 2014 basICColor GmbH All Rights Reserved The View check box opens an additional window for a precise view on the measurement data The Compare check box opens another window for comparison of 2 measurements or a before after correction or conversion comparison 4 Ji NO ereme 12 basICColor MProve because it simply works bast Co dd 3 2 Tools 3 2 1 Automatic A specific sequence in the working method is recommended when preparing measurement data First clean up redundant color patches Redundancies in the measurement file then correct faulty measurement values Correction1 and finally smoothen the measurement data Smoothing This sequence is automati cally executed by using the Automatic function Load a measurement file via the Load button or simply drag and drop a measurement file onto the Data Sets area Click Automatic and press Start in the dialog that opens up 68 0 0 Auto Automatic processing this might take a while Press
32. thing like that is a sure sign of an incorrect measurement If such faults are not detected and corrected they will result in poor printer profile quality eoo View View ECI2002random DINA4 EyeOne 002 RemovedRedundanci ECI2002random DINA4 EyeOne 002 RemovedRedundanci 2D 3D Spider Web Curves 2D 3D TV Spider Web nearity White Cyan Linearity White Cyan 100 100 Note The Correction tool must always be used on measurement data before applying the Smoothing tool During smoothing faulty measurements would be retained and incorporated in the resulting file This however would generate an error in the measurements basICColor MProve because it simply works 5moothing basil Color ur Ji NO ereme 3 2 4 Smoothing baslCColor MProve offers the option of smoothing measurement data This option is quite useful if you want to create a generic profile for a complete series of printing systems since smoothing retains the general characteristics of the printing condition ECI2002random DINA4 EyeOne 002 RemovedRedundanci ECI2002random DINA4 EyeOne 002 RemovedRedundanci 2D 3D TV Spider Web 2D 3D Spider Web Linearity White Cyan Linearity White Cyan Linearity White Cyan c 2 gio c White Most printing systems show a quite linear tonal printing behavior But uncom
33. utomatically supplemented when scaling to different charts Missing color patches e g from overprinting colors which are missing in small charts can be assessed better with the help of a reference profile In reverse you can also use the Rescale tool to extract the color patches required for the Fogra Ugra Media Wedge V3 from a measured large 2002 or IT8 7 4 test chart baslCColor IMProve uses the color patches from the available measurement file 1 1 in the new chart layout This enables you to produce your own media wedge reference files for verifying printed proofs very easily 22 basICColor MProve bas Golor because it simply works Brightener 3 2 6 Correction of optical brighteners Paper manufacturers often use optical brighteners to make the paper look brighter Visual color appraisal is often done under different lighting conditions than used in the measuring instru ment While under the old standard lighting conditions ISO 3664 2000 the paper seems to be neutral white measurements taken with an illuminant with a UV content Mo M1 show a bluish white The problem here is validation under standard light ing booths which usually delivers a not perfect match with the Dso illuminant Spectrophotometric measurements with the D50 illuminant then lead to problems in using the profile in particular with validation under standard lighting because the excessively blue proportion o
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