An Adaptive Quantization Method of Image Based on the Contrast Sensitivity Characteristics of Human Visual System

YAO Juncai; LIU Guizhong

doi:10.11999/JEIT150848

Volume 38 Issue 5

May 2016

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YAO Juncai, LIU Guizhong. An Adaptive Quantization Method of Image Based on the Contrast Sensitivity Characteristics of Human Visual System[J]. Journal of Electronics & Information Technology, 2016, 38(5): 1202-1210. doi: 10.11999/JEIT150848

Citation:

YAO Juncai, LIU Guizhong. An Adaptive Quantization Method of Image Based on the Contrast Sensitivity Characteristics of Human Visual System[J]. Journal of Electronics & Information Technology, 2016, 38(5): 1202-1210. doi: 10.11999/JEIT150848

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An Adaptive Quantization Method of Image Based on the Contrast Sensitivity Characteristics of Human Visual System

doi: 10.11999/JEIT150848

YAO Juncai¹,
LIU Guizhong²

1.
2.
(The School of Electronic and Information Engineering, Xi&rsquo

Funds:

The National Natural Science Foundation of China (61301237), The Scientific and Technological New-star Plan of Shaanxi Province, China (2015KJXX-42), The Specialized Research Foundation of Shaanxi Province Education Department, China (15JK1139)

Received Date: 2015-07-16
Rev Recd Date: 2015-12-18
Publish Date: 2016-05-19

Abstract

Abstract

In order to improve the compression ratio and quality of the image, combined with the contrast sensitivity characteristics of human vision system and the spectrum characteristics of image in the transform domain, a method is proposed to form the adaptive quantization table in image compression. And according to the JPEG coding algorithm and replacing the quantization table in JPEG, simulations are carried out for three images by programming, whose results are compared with JPEG compression at the same time. The results show that: compared with JPEG compression, under the same compression ratio, average SSIM and PSNR of three decompressed images increase by 1.67% and 4.96% after being compressed using adaptive quantization, respectively. They show that the adaptive quantization based on HVS is a good and practical method.
- Image compression,
- Quantization,
- Human visual system characteristics,
- Structural Similarity Index Measurement (SSIM)

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References(20)

References

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