Image Compression with Visual Entropy-Based Segmentation

SHAN Zhiguang; WEI Tao; YANG Yang

doi:10.13374/j.issn1001-053x.2000.02.025

Volume 22 Issue 2

Aug. 2021

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Article Navigation > Chinese Journal of Engineering > 2000 > 22(2): 185-189

SHAN Zhiguang, WEI Tao, YANG Yang. Image Compression with Visual Entropy-Based Segmentation[J]. Chinese Journal of Engineering, 2000, 22(2): 185-189. doi: 10.13374/j.issn1001-053x.2000.02.025

Citation:

SHAN Zhiguang, WEI Tao, YANG Yang. Image Compression with Visual Entropy-Based Segmentation[J]. Chinese Journal of Engineering, 2000, 22(2): 185-189. doi: 10.13374/j.issn1001-053x.2000.02.025

SHAN Zhiguang, WEI Tao, YANG Yang. Image Compression with Visual Entropy-Based Segmentation[J]. Chinese Journal of Engineering, 2000, 22(2): 185-189. doi: 10.13374/j.issn1001-053x.2000.02.025

Citation:

SHAN Zhiguang, WEI Tao, YANG Yang. Image Compression with Visual Entropy-Based Segmentation[J]. Chinese Journal of Engineering, 2000, 22(2): 185-189. doi: 10.13374/j.issn1001-053x.2000.02.025

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Image Compression with Visual Entropy-Based Segmentation

doi: 10.13374/j.issn1001-053x.2000.02.025

Information Engineering School, UST Beijing, Beijing 100083 China

Received Date: 1999-09-10
Available Online: 2021-08-27

Abstract

Abstract

An image compression method with Visual Entropy-Based segmentation is presented. Firstly the induction of the characteristics of Human Vision System(HVS) and the principles for Visual Entropy-based segmentation is made. Then the mathematic definition for quantification of image character and the algorithm for Visual Entropy-Based segmentation are fully described. The experimental results have shown that image compression with Visual Entropy-Based segmentation can not only gets a rather low bit rate but also gives satisfactory subjective perceptual quality. This method has well emulated the properties of HVS.
- visual entropy (VE),
- image segmentation,
- image coding