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| An Image Coding Algorithm Based on Contourlet Listless Zerotree Coding |
| Jin Wei①②; Pan Ying-jun①; Wei Biao①; Feng Peng① |
①The Key Lab of Optoelectronic Technology & System, Ministry of Education,
Chongqing University, Chongqing 400044, China;②Faculty of Information Science & Technology, Ningbo University, Ningbo 315211, China |
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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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Received: 08 March 2005
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2006, Vol. 28 
