Dynamic Optimization Algorithm For Generating Inverse Printer Map With Reduced Measurements

For a color printer to attain good color rendering quality the image output terminal must be capable of producing the desired tone, i.e., the solidness, of each of primary color separations as requested. Calibration is a major task in providing high quality prints. A model (characterization) of the color printer is a first step for building profiles. Most of the methods used to solve the calibration problem utilize, in one way or another, a printer inverse map. Once the inverse map is constructed, the input image will be processed by the inverse map to obtain the correct CMY values that can produce the desired Lab values. A major drawback in this type of calibration is the need to measure N times N times N color patches each time the printer is calibrated. We propose an alternative approach, where few critical color patches are measured and the rest of the points in the forward printer map are obtained using interpolation