How to minimize the colors lost by ICC color management

ICC color management, there is another method is CMM (Color Management Modules Microsoft), there is another one is CMM (Color Matching Method) plus a Color Engine (Adobe), and a CMS (Color Management System) system Like Apple's ColorSync or Kodak, the PCS Profile Connection (ICC Specifications) is the space for color conversion, or RCS Reference Color Space (Adobe).

ICC specific terms, Input profile (color space to PCS), Output profile (PCS to color space) and display (Display), Device link, Color space, Abstract, Named color (ie Pantone, HKS), color space mode can It is CMYK, Grayscale, RGB, Lab / XYZ. Device link means that 2 ICCs or 3 ICCs are used to connect. One is Input printed matter, and the Output is a digital sample. You can connect these two ICCs together. The two links together rely on a CMS software The Color Engine does the conversion, so today assumes that the colors produced by RIP are not accurate, you can use Device Link, which can be combined into three. For example, if you input Japanese colors today, but the prints are for the United States, so when you get this manuscript, you need to print out American standards, Input is Japanese colors, the simulation object is SWOP, and the output is a printing machine, so that it can be combined with Three. There is also the use of poor paper to make a better color gamut, so that the color gamut is reduced one by one. Then the layers produced in this way are much better than the level where the large color gamut is directly converted into a small color gamut, so the color gamut Conversion is of course a technical issue.

ICC Basics is already very good, but there seems to be room for improvement, because some data will be lost when the color gamut is compressed. Is it possible to find a method that can lose the least, that is, Workflow makes the color correspondence table. The calculation space of ICC is actually a 3X3 matrix, from RGB of Gamma to White point to XYZ of PCS. Then, can we achieve more matrices, so that the color can be more accurate. In other words, CMM will have different results in different profiles (RGB, CMYK, Grayscale, Lab). Another method is Workflow. Input Reference is Lab data. You can go to Proof when doing Contone, then do Measurement after Proof, and then Compare to compare after Measurement, and then Proof and Proof after comparison. After finishing, go to Measurement and then to Compare, so you can make the color point of each color block very accurate, the error can really be below 1, such a Workflow Tbale method is to always give back, you can achieve color More accurate.

The dot sampling is the same principle, that is to say, input the point, change the size of the dot, which is the measured Lab data, relative Engine to convert, after the dot size changes, to match the Lab data, the same Match. Because when the dots are expanded, you can also simulate when you hit the dots. Generally speaking, you must simulate Dot Gain when you hit the dots, because when Dot Gain is simulated, the entire color will be accurate.

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