Volume 22 Issue 2
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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

  • Information Engineering School, UST Beijing, Beijing 100083 China

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  • Received Date: September 09, 1999
  • Available Online: August 26, 2021
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    • 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.
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