Polynomial Regression Multi-color Separation Method Based on Subspace Partition
ZHANG Zhen-jie1, LIU Zhen1, WU Ming-guang2
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(1)University of Shanghai for Science and Technology, Shanghai 200093, China; (2)Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 200046, China
A new color separation method was proposed. Multi-color printer gamut was separated into partitions; every partition was divided into subspaces. Polynomial models were created in subspaces with least square method. Optimal subspace was found first when the targeting colorimetric value was in color separation. Separation result was obtained by solving polynomial equation. The experiment showed that this separation method performs well in accuracy and stability and satisfies the requirement of multi-color high-precision printing.