DocumentCode
3727587
Title
A novel color damaged index of digital images
Author
Saili He; Xiuhua Jiang
Author_Institution
School of Information Engineering, Communication University of China, Beijing, China
fYear
2015
Firstpage
925
Lastpage
929
Abstract
A novel color damage index of digital images is proposed based on the color characteristic histogram distance and primary and fundamental color distribution characters perceived by the human vision system. The proposed arithmetic measures the quality of an image which is damaged by the JPEG image compression scheme through comparing the cumulative histogram distances of hue, saturation, and luminance between two images. Meanwhile, the color richness and the low saturation ratio are also the reference base. Comparison between the proposed index and the most popular full-reference image quality assessment (IQA) method which is called SSIM indicates that the proposed arithmetic could be more efficient.
Keywords
"Image color analysis","Histograms","Image coding","Indexes","Color","Digital images","Image quality"
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2015 11th International Conference on
Electronic_ISBN
2157-9563
Type
conf
DOI
10.1109/ICNC.2015.7378114
Filename
7378114
Link To Document