Presumption Evaluation of Color Reproduction Based on Multi-feature Model in Digital Printing
Color difference formula is the main objective method to evaluate color reproduction quality in digital printing. It is singular to evaluate the color appearance consistency for color reproduction. A presumption of comprehensive evaluation method was deve
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Abstract Color difference formula is the main objective method to evaluate color reproduction quality in digital printing. It is singular to evaluate the color appearance consistency for color reproduction. A presumption of comprehensive evaluation method was developed. And a combinative feature model of color moments, gray level co-occurrence matrix and color appearance moments is established to evaluate the reproduction quality in digital printing process in order to guarantee the scientificity and comprehensivity of evaluation method. Konica Minolta digital printer was used to output the digital scale and color characteristics were measured by spectrophotometer. Color appearance characteristics were calculated using iCAM. And gray level co-occurrence matrixes of original and reproduction were obtained using gray scale spatial correlation. It showed the feasibility and effectiveness of the model used to evaluate the color reproduction quality. And the influence on prepress was analyzed comparatively which could improve the color reproduction quality.
Keywords Print image quality Gray level co-occurrence matrix Digital printing
1 Introduction Printing image quality measurement and control plays an important role in the digitalization, standardization and normalization process. Printing image quality evaluation can be classified into three types, objective evaluation, subjective evaluation and comprehensive evaluation [1]. The physical properties of printing image and product are evaluated and described using test chart, scale and spectrophotometer according to printing quality and standardization in the objective evaluation. Printing quality is evaluated based on original according to printing Y. Zhao X. Li (&) X. Li Q. Cao J. Jia School of Printing and Packing Engineering, Qilu University of Technology, Jinan 250353, China e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2017 P. Zhao et al. (eds.), Advanced Graphic Communications and Media Technologies, Lecture Notes in Electrical Engineering 417, DOI 10.1007/978-981-10-3530-2_22
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quality and standardization for subjective evaluation. For comprehensive evaluation, subjective evaluation and objective evaluation were used together to get the same evaluation standard and to make the method and standard more reasonable, which makes the subjective evaluation better agreement with objective data. Mathematical model for evaluating printing image quality using the parameters was developed to make the evaluation quantitatively in this paper. Mean square error (MSE), peak signal to noise ratio (PSNR) are often used in the evaluation process which are simple and intuitive [2]. However, the two methods produce more deviation to subjective evaluation. The method based structure similarity (SSIM) was performed according to the properties of single-scale or multi-scale SSIM [3]. A hypothesis of color evaluation method of combinative evaluation according to machine vision technique was developed based on the existing me
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