感興趣系數(shù)圖像壓縮編碼算法
A Novel Image Coding Algorithm Based on Coefficients of Interest
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摘要: 根據(jù)遙感圖像編碼的特殊性，提出了一種感興趣系數(shù)編碼算法。對于給定碼率計算遙感圖像小波域系數(shù)的熵估計值，從而大致確定正常編碼情況下圖像編碼所截取到的比特平面, 在此基礎(chǔ)上給出了感興趣系數(shù)確定方案及提升幅度的計算方法。該算法與感興趣區(qū)域編碼方法不同，不需要在圖像域指定感興趣區(qū)域，系數(shù)提升幅度也不用提前指定，而且不必對所有子帶的系數(shù)進行提升。該算法是任意區(qū)域的感興趣區(qū)域編碼的擴展和補充，但更為靈活、有效。仿真結(jié)果表明該算法可以有效保留遙感圖像中小目標(biāo)的信息，但圖像總體質(zhì)量略有下降。
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關(guān)鍵詞:
- 圖像處理;圖像壓縮;感興趣系數(shù);熵估計值;比特平面提升
Abstract: A novel image coding algorithm based on coefficients of interest is proposed in terms of the special needs of remote-sensing images. When coding rate is given, the entropy estimate is calculated from the coefficients of the given image, so that the last coding bit-plane can be derived when the image is coded normally. The difference of the algorithm from the one for region-of-interest algorithm lies in that the region and the scaled value need not be preappointed, and the most important is that all the coefficients in bands are not scaled up, while the coefficients of interest and the scaled value are deduced from the given image in the algorithm. This algorithm can be thought as the generalization from the region-of-interest algorithm, which is smarter and more valid than the region of interest coding algorithm. The simulation and the experimental results show that the small targets in the remote-sensing images can be saved validly while the whole image quality decreases a little. -
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