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CLC number: TN919.8

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Received: 2006-09-13

Revision Accepted: 2006-12-18

Crosschecked: 0000-00-00

Cited: 1

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Journal of Zhejiang University SCIENCE A 2007 Vol.8 No.4 P.620-624


Mean shift based log-Gabor wavelet image coding

Author(s):  LI Ji-liang, FANG Xiang-zhong, HOU Jun

Affiliation(s):  Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai 200240, China

Corresponding email(s):   jilianglee@163.com

Key Words:  Sparse approximation, Log-Gabor, Image coding, Mean shift, Overcomplete

LI Ji-liang, FANG Xiang-zhong, HOU Jun. Mean shift based log-Gabor wavelet image coding[J]. Journal of Zhejiang University Science A, 2007, 8(4): 620-624.

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A1 - LI Ji-liang
A1 - FANG Xiang-zhong
A1 - HOU Jun
J0 - Journal of Zhejiang University Science A
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SP - 620
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DOI - 10.1631/jzus.2007.A0620

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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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