Presentation 1995/11/10
A Study on Picture Quality Evaluation Measure AWSNR Considering Local Entropy for Coded Monochrome Still Picture
Jun Okamoto, Seiichiro Hangai, Kazuhiro Miyauchi,
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Abstract(in English) An objective evaluation measure AWSNR (Advanced Weighted Signal to Noise Ratio) which compensates coding noise by considering entropy in every 16×16 pixels sub-block is proposed. In order to clarify the relationship between MOS (Mean Opinion Score), SNR and entropy, a subjective evaluation test using twelve kinds of textures with ten different noise level is carried out. After the noise compensation factor is experimentally derived from the entropy-SNR characteristics when MOS=4, 342 images with five kinds of coding noise or with random noise are evaluated subjectively and objectively. The result shows an improved correlation coefficient with the MOS-AWSNR of 0.83, compared to 0.64 with the MOS-SNR.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) WSNR / Entropy / Picture Quality Evaluation / Visual Information Processing
Paper # HIP95-25
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Committee HIP
Conference Date 1995/11/10(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Picture Quality Evaluation Measure AWSNR Considering Local Entropy for Coded Monochrome Still Picture
Sub Title (in English)
Keyword(1) WSNR
Keyword(2) Entropy
Keyword(3) Picture Quality Evaluation
Keyword(4) Visual Information Processing
1st Author's Name Jun Okamoto
1st Author's Affiliation Department of Electrical Engineering, Science University of Tokyo()
2nd Author's Name Seiichiro Hangai
2nd Author's Affiliation Department of Electrical Engineering, Science University of Tokyo
3rd Author's Name Kazuhiro Miyauchi
3rd Author's Affiliation Department of Electrical Engineering, Science University of Tokyo
Date 1995/11/10
Paper # HIP95-25
Volume (vol) vol.95
Number (no) 349
Page pp.pp.-
#Pages 6
Date of Issue