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New region of interest image coding and its applications for remote sensing image 被引量:2

New region of interest image coding and its applications for remote sensing image
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摘要 A new region of interest, (ROI) coding called partial multiply bitplane alternating shift (PMBAShift) is presented in this paper. In PMBAShift, the partial most significant bitplanes of ROI are shifted up and no overlap with any bitplane of background (BG). The most significant bitplanes of BG and general significant bitplanes of ROI coefficients are shifted up by bitplane-by-bitplane alternating sealing. Finally, the least significant bitplanes of ROI and the general significant bitplanes of BG are obtained in the original position and the least significant bitplanes of BG coefficients are shifted down and no overlap with any bitplane. The new method not only retains advantages of maximum shift (Maxshift) method, but also efficiently compresses multiple ROIs according to different degrees of interest without any shape information. A new region of interest, (ROI) coding called partial multiply bitplane alternating shift (PMBAShift) is presented in this paper. In PMBAShift, the partial most significant bitplanes of ROI are shifted up and no overlap with any bitplane of background (BG). The most significant bitplanes of BG and general significant bitplanes of ROI coefficients are shifted up by bitplane-by-bitplane alternating sealing. Finally, the least significant bitplanes of ROI and the general significant bitplanes of BG are obtained in the original position and the least significant bitplanes of BG coefficients are shifted down and no overlap with any bitplane. The new method not only retains advantages of maximum shift (Maxshift) method, but also efficiently compresses multiple ROIs according to different degrees of interest without any shape information.
作者 张立保 王珂
出处 《Chinese Optics Letters》 SCIE EI CAS CSCD 2006年第2期76-79,共4页 中国光学快报(英文版)
基金 This work was supported by the National Natu-ral Science Foundation of China (No. 40372129 and 59638220)the Youth Teacher Foundation of Bei-jng Normal University.
关键词 DECODING Image communication systems Image compression Remote sensing Decoding Image communication systems Image compression Remote sensing
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