一種基于Contourlet的無(wú)表零樹(shù)圖像編碼算法
An Image Coding Algorithm Based on Contourlet Listless Zerotree Coding
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摘要: 該文提出一種低存儲(chǔ)量、高壓縮性能的基于Contourlet變換的無(wú)表零樹(shù)編碼算法。通過(guò)對(duì)Contourlet系數(shù)的重新組合，該算法采用類似LZC的零樹(shù)結(jié)構(gòu)；為了充分利用Contourlet變換對(duì)二維分段光滑函數(shù)的良好表達(dá)能力，設(shè)計(jì)了不同于LZC 算法的掃描順序和標(biāo)志圖表示，降低了編解碼復(fù)雜度。實(shí)驗(yàn)結(jié)果表明，該算法用于圖像編碼是有效的，在相同壓縮比下，其主觀視覺(jué)質(zhì)量和PSNR都明顯優(yōu)于基于小波變換的LZC和SPIHT算法，尤其對(duì)于含有豐富紋理的圖像。
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關(guān)鍵詞:
- 圖像壓縮; 多尺度幾何分析; Contourlet變換; 無(wú)表零樹(shù)編碼
Abstract: This paper presents a new image coding algorithm based on the Contourlet Listless Zerotree Coding (CLZC) with lower memory requirement and higher compression performance. This new algorithm adopts Zerotree structure analogical to LZC by repositioning the Contourlet coefficients. Furthermore, in order to take advantage of the good performance of Contourlet in approximation for 2D piecewise smooth functions, a reasonable scanning order and new flag maps different from LZC are designed, which reduce the complexity in the encoding and decoding procedure. The experiments demonstrate that the proposed algorithm is efficient in coding images; it outperforms the wavelet-based LZC and SPIHT algorithms both visually and in terms of PSNR under the same compression ratio, especially for the images including a large portion of texture. -
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