一种基于Contourlet的无表零树图像编码算法
An Image Coding Algorithm Based on Contourlet Listless Zerotree Coding
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摘要: 该文提出一种低存储量、高压缩性能的基于Contourlet变换的无表零树编码算法。通过对Contourlet系数的重新组合，该算法采用类似LZC的零树结构；为了充分利用Contourlet变换对二维分段光滑函数的良好表达能力，设计了不同于LZC 算法的扫描顺序和标志图表示，降低了编解码复杂度。实验结果表明，该算法用于图像编码是有效的，在相同压缩比下，其主观视觉质量和PSNR都明显优于基于小波变换的LZC和SPIHT算法，尤其对于含有丰富纹理的图像。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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