P‐24: Evaluation Method of SMV Crosstalk Based on Human Visual Characteristics

2021 ◽  
Vol 52 (1) ◽  
pp. 1146-1149
Author(s):  
Sen Ma ◽  
Tao Hong ◽  
Jinye Zhu ◽  
Chunmiao Zhou
Keyword(s):  
Evaluation Method ◽  
Visual Characteristics ◽  
Human Visual Characteristics

Research on the Color-Difference Evaluation of Food Package Printing Matter Based on the Human Visual Characteristics

2013 ◽  
Vol 469 ◽  
pp. 278-281 ◽  
Author(s):  
Zhi Jian Li ◽  
Qing Jun Meng
Keyword(s):  
Evaluation Method ◽  
Color Difference ◽  
Reference Image ◽  
Target Image ◽  
Food Package ◽  
Difference Formula ◽  
Visual Characteristics ◽  
Opposite Color ◽  
Space Image ◽  
Human Visual Characteristics

In order to improve for the inadequacy of traditional evaluation methods, this paper researched a kind of color-difference evaluation method for the food package printing matter based on human visual characteristics. Research method is as follow: the reference image and the target image were transformed to the opposite color space, and were dealt with the human eye Contrast Sensitive Function (CSF) spatial filter. The modified three opposite color component of images were transformed into the CIE XYZ space image after CSF spatial filtering processed; finally the image was transformed to the CIELAB space image. The color-difference of the target image was calculated according to color-difference formula. The color-difference result of image is the calculation result with human visual characteristics filtering processed; it combines subjective evaluation with objective evaluation. The research could provide practical and effective evaluation method for the field of food package printing matter.

Adaptive scan rate up-conversion system based on human visual characteristics

2000 ◽  
Vol 46 (4) ◽  
pp. 999-1006 ◽  
Author(s):  
Ho Young Lee ◽  
Jin Woo Park ◽  
Tae Min Bae ◽  
Sang Um Choi ◽  
Yeong Ho Ha
Keyword(s):  
Conversion System ◽  
Scan Rate ◽  
Visual Characteristics ◽  
Human Visual Characteristics
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