Research on Characteristic Spectrum Extracting and Matching for High-Fidelity Reproduction
YANG Sheng-wei1, LIU Zhen2*, WU Ming-guang3, ZHANG Zhen-jie2
1. Jiangsu Provincial Key Lab of Pulp and Paper Science and Technology,Nanjing Forestry University, Nanjing 210037, China 2. College of Communication and Art Design, University of Shanghai for Science & Technology, Shanghai 200093, China 3. Key Laboratory of Virtual Geographic Environment of Ministry of Education, Nanjing Normal University, Nanjing 210046, China
Abstract:Reconstructing the spectrum rapidly and accurately is the key to the research on high-fidelity reproduction. A characteristic spectrum extracting and matching method for high-fidelity printing is proposed aiming at the problem of complex conversion between spectrum and ink combination caused by multi-color. The method filters and extracts feature bands of primary ink through derivative spectrum, and a characteristic spectrum multi-threshold coding method is proposed. Considering the problem of subarea judgment in hi-fi printing, an average derivative spectrum is taken as characteristic spectrum of each subarea and a spectrum matching method between target spectrum and average derivative spectrum of sub-spaces is proposed. The results show that the feature bands extracted can represent spectral characteristic of primary color significantly and the precision of color conversion model based on feature bands is higher than the model based on full bands. The spectrum matching method can achieve a high accuracy in sub-space judgments and greatly improve the efficiency of color convention. The spectrum extracting and matching method has the high practicability.
[1] Li A,Lennie P. Vision Research,1997,37(1):83. [2] Cloutis E A. International Journal of Remote Sensing,1996,17(12):2215. [3] Tzeng D Y,Berns R S. Color Research & Application,2005,30(2):84. [4] Wang Qiang. The Study on Color Management Mechanism of Spatial Information. Wuhan University,2005. [5] Binyu W, X Haisong,Luo M R. Chin. Opt. Lett., 2012, 1:13301. [6] Jinyi G, X Haisong,M R Luo. Chin. Opt. Lett., 2010,11:1106. [7] Zhu Ming,Liu Zhen,Chen Guangxue. Acta Optica Sinica,2011,31(7):0733001. [8] Yan Aiguo. Research on Neugebauer Multi-color Separation Based on Double Subarea Modification. Nanjing Forestry University,2012. [9] Wang B,Xu H,Luo M R,et al. Josa A,2011,28(7):1429. [10] Urban P,Grigat R R. Color Research & Application,2006,31(3):229. [11] Urban P,Rosen M,Berns R. Fast Spectral-Based Separation of Multispectral Images,2007. [12] Li C,Lu M R. Further accelerating the inversion of the cellular Yule-Nielsen Modified Neugebauer Model: Proe. CIC16(IS&T/SID, Portland, USA), 2008.