A new quality evaluation method of binary images

Authors:
Xinhong Zhang;Yanping Chu;Junliang Zhang;Fan Zhang
Affiliations:
Institute of Complex Intelligent Network System, Henan University, Kaifeng, China;Institute of Complex Intelligent Network System, Henan University, Kaifeng, China;College of Information Management, Nanjing University, Nanjing, China;College of Computer and Information Engineering, Henan University, Kaifeng, China
Venue:
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Year:
2010

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Abstract

A simple objective quality evaluation method of binary images is proposed. The quality evaluation of binary image considers the distance between the changed pixels and the border. So a new distance measurement, Border distance, is designed to response the position effects of modified pixel in different regions. Experimental results show that the proposed method well matches the human visual perception.