|
|
|
|
|
|
Updating a Spectral Printer Characterization Model Based on Ink Limitation Samples |
LIU Qiang1, 2, 3, HUANG Zheng1, LI Qing-ming1, PENG Rui3, XUN Yi-jing3 |
1. Shenzhen Research Institute, Wuhan University, Shenzhen 518000, China
2. State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou 510640, China
3. School of Printing and Packaging, Wuhan University, Wuhan 430079, China |
|
|
Abstract Printer characterization is of crucial importance for the color management of color printing. The updating of spectral printer characterization model aims at maintaining the accuracy of the existed printer characterization model by certain corrective algorithm, when the printing substrate or ink cartidge is changed. In this study, a novel method was proposed to improve the modification performance for current printer characterization model, which derived the modification samples from ink limitation process. The superiority of the proposed method was verified by comparing its performance to a typical approach with regard to three different printing substrates. The experimental results show that the proposed approach outperformed its counterpart by promoting the spectral accuracy by 15%~20% while promoting the colorimetric accuracy by 10%~20%, with no need of extra sampling.
|
Received: 2017-10-09
Accepted: 2018-02-10
|
|
|
[1] Shen H, Zheng Z, Jin C,et al. Journal of Electronic Imaging, 2013, 22:023012.
[2] Sun B, Liu H, Zhou S,et al. Spectroscopy Letters, 2015, 48(9): 660.
[3] Zuffi S, Schettini R, Mauri G. Journal of Electronic Imaging, 2005, 14: 023008.
[4] Hébert M,Hersch R D. Color Research & Application, 2015, 40(4): 383.
[5] Liu Q, Wan X, Xie D. JOSA A, 2014, 31(6): 1284.
[6] Wang B, Xu H, Luo M R,et al. Chinese Optics Letters, 2011, 9(6): 063301.
[7] Wyble D R,Berns R S. Color Research & Application, 2000, 25(1): 4.
[8] Zitinski Elias P, Gooran S, Nystrm D. Journal of Imaging Science and Technology, 2016, 60(5): 50403-1.
[9] Wang B, Xu H, Luo M R,et al. JOSA A, 2011, 28(7): 1429.
[10] Littlewood D,Subbarayan G. Journal of Imaging Science and Technology, 2006, 50(11): 556.
[11] Shaw M, Sharma G, Bala R,et al. Color Research & Application, 2003, 28(6): 454.
[12] Imai F H, Rosen M R, Berns R S. CGIV,2002, 492.
[13] Luo M R, Cui G, Rigg B. Color Research & Application, 2001, 26(5): 340.
[14] Soler P,Maria M. Electronic Imaging,2008, 68070Z.
[15] Urban P. AIC,2009, 1.
[16] Chong E K,Zak S H. An Introduction to Optimization, Wiley, 2013. |
[1] |
LI Yu1, ZHANG Ke-can1, PENG Li-juan2*, ZHU Zheng-liang1, HE Liang1*. Simultaneous Detection of Glucose and Xylose in Tobacco by Using Partial Least Squares Assisted UV-Vis Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 103-110. |
[2] |
WANG Yi-ru1, GAO Yang2, 3, WU Yong-gang4*, WANG Bo5*. Study of the Electronic Structure, Spectrum, and Excitation Properties of Sudan Red Ⅲ Molecule Based on the Density Functional Theory[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2426-2436. |
[3] |
LIU Mei-jun, TIAN Ning*, YU Ji*. Spectral Study on Mouse Oocyte Quality[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1376-1380. |
[4] |
CI Cheng-gang*, ZANG Jie-chao, LI Ming-fei*. DFT Study on Spectra of Mn-Carbonyl Molecular Complexes[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1434-1441. |
[5] |
CHEN Qing1, TANG Bin1, 2*, LONG Zou-rong1, 2, MIAO Jun-feng1, HUANG Zi-heng1, DAI Ruo-chen1, SHI Sheng-hui1, ZHAO Ming-fu1, ZHONG Nian-bing1. Water Quality Classification Using Convolution Neural Network Based on UV-Vis Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 731-736. |
[6] |
WANG Ren-jie1, 2, FENG Peng1*, YANG Xing3, AN Le3, HUANG Pan1, LUO Yan1, HE Peng1, TANG Bin1, 2*. A Denoising Algorithm for Ultraviolet-Visible Spectrum Based on
CEEMDAN and Dual-Tree Complex Wavelet Transform[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 976-983. |
[7] |
LI Yun-xia1, MA Jun-cheng2, LIU Hong-jie3, ZHANG Ling-xian1*. Tillering Number Estimation of Winter Wheat Based on Visible
Spectrogram and Lightweight Convolutional Neural Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 273-279. |
[8] |
XU Meng-lei1, 2, GAO Yu3, ZHU Lin1, HAN Xiao-xia1, ZHAO Bing1*. Improved Sensitivity of Localized Surface Plasmon Resonance Using Silver Nanoparticles for Indirect Glyphosate Detection Based on Ninhydrin Reaction[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 320-323. |
[9] |
LI Qing-bo1, BI Zhi-qi1, CUI Hou-xin2, LANG Jia-ye2, SHEN Zhong-kai2. Detection of Total Organic Carbon in Surface Water Based on UV-Vis Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3423-3427. |
[10] |
HU Yu-xia1, CHEN Jie1, SHAO Hui1, YAN Pu1, XU Heng1, SUN Long1, XIAO Xiao1, XIU Lei3, FENG Chun2GAN Ting-ting2, ZHAO Nan-jing2*. Research Progress of Spectroscopy Detection Technologies for Waterborne Pathogens[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2672-2678. |
[11] |
LUO Heng, Andy Hsitien Shen*. Based on Color Calculation and In-Situ Element Analyze to Study the Color Origin of Purple Chalcedony[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1891-1898. |
[12] |
LI Qing-bo1, WEI Yuan1, CUI Hou-xin2, FENG Hao2, LANG Jia-ye2. Quantitative Analysis of TOC in Water Quality Based on UV-Vis Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 376-380. |
[13] |
LIU Jia-cheng1, 2, HU Bing-liang1, YU Tao1*, WANG Xue-ji1, DU Jian1, LIU Hong1, LIU Xiao1, HUANG Qi-xing3. Nonlinear Full-Spectrum Quantitative Analysis Algorithm of Complex Water Based on IERT[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(12): 3922-3930. |
[14] |
YUE Su-wei1, 2, YAN Xiao-xu1, 2*, LIN Jia-qi1, WANG Pei-lian1, 2, LIU Jun-feng3. Spectroscopic Characteristics and Coloring Mechanism of Brown Tourmaline Under Heating Treatment[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(08): 2524-2529. |
[15] |
WANG Yu-yan1, YANG Ling-yue1, LI Ming2, YANG Peng-tao3, Andy Hsitien Shen1, WANG Chao-wen1*. Spectral Characteristics and Color Origin of Unstable Yellow Sapphire[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(08): 2611-2617. |
|
|
|
|