Abstract
A color-tone similarity index (CSIM) between two color images is presented. CSIM is defined by a statistical analysis of cumulative histograms in a hue-oriented color space. It characterizes the color distributions, while the existing structural similarity index reflects the spatial structure involved with grayscale images. The behaviors of CSIM are checked by the comparisons of color code chips. Through an image quality assessment on TID2008, the correlation between CSIM and the mean opinion score was proved to be statistically significant.
Original language | English |
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Title of host publication | 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings |
Pages | 393-397 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 2013 |
Publication type | A4 Article in conference proceedings |
Event | 2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia Duration: 15 Sept 2013 → 18 Sept 2013 |
Conference
Conference | 2013 20th IEEE International Conference on Image Processing, ICIP 2013 |
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Country/Territory | Australia |
City | Melbourne, VIC |
Period | 15/09/13 → 18/09/13 |
Keywords
- Image analysis
- IQA
- similarity
- SSIM
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition