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《Journal of Data Acquisition & Processing》 1993-01
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Human Visual Weighted Sub-band Coding of Images

Zhang Hui He Zhenya (Radio Engineering Department, Southeast University Nanjing, 210018)  
A subband coding method of images incorporating properties of Human Vision is presented in this paper. An image is first decomposed into several subband images localized in different frequency ranges, and then on the basis of the selectivity of Human Visual System the subband images are weighted respectively. The PCM and DPCM are used to quantize and code the subband images. An anisotropical Human Visual System model is also given in this paper. The numbers of subband images are selected in accordance with the anisotropical model, resulting in the reduction of image data to a great extent. The computer simulation results shove that a subjectively more pleasing quality of decoded image is obtained at realative high data compression rates.
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