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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2007, Vol. 8 Issue (4): 620-624    DOI: 10.1631/jzus.2007.A0620
Information & Computer Science     
Mean shift based log-Gabor wavelet image coding
LI Ji-liang, FANG Xiang-zhong, HOU Jun
Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai 200240, China
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Abstract  In this paper, we propose a sparse overcomplete image approximation method based on the ideas of overcomplete log-Gabor wavelet, mean shift and energy concentration. The proposed approximation method selects the necessary wavelet coefficients with a mean shift based algorithm, and concentrates energy on the selected coefficients. It can sparsely approximate the original image, and converges faster than the existing local competition based method. Then, we propose a new compression scheme based on the above approximation method. The scheme has compression performance similar to JPEG 2000. The images decoded with the proposed compression scheme appear more pleasant to the human eyes than those with JPEG 2000.

Key words： Sparse approximation      Log-Gabor      Image coding      Mean shift      Overcomplete     
Received: 13 September 2006     
CLC:  TN919.8  
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LI Ji-liang
FANG Xiang-zhong
HOU Jun
Cite this article:

LI Ji-liang, FANG Xiang-zhong, HOU Jun. Mean shift based log-Gabor wavelet image coding. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2007, 8(4): 620-624.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2007.A0620     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2007/V8/I4/620

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