Image enhancement using wavelet-domain mixture models

被引：0
|
作者：
Shi, Fei [1 ]
Selesnick, Ivan W. [1 ]
Guleryuz, Onur [1 ]
机构：
[1] Polytech Univ, 6 Metrotech Ctr, Brooklyn, NY 11201 USA
来源：
2006 IEEE 12TH DIGITAL SIGNAL PROCESSING WORKSHOP & 4TH IEEE SIGNAL PROCESSING EDUCATION WORKSHOP, VOLS 1 AND 2 | 2006年
基金：
美国国家科学基金会;
关键词：
D O I：
10.1109/DSPWS.2006.265492
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We propose a non-linear mapping function for digital image enhancement in the wavelet domain, which amplifies midrange coefficients more than small and large coefficients. We derive this function based on a statistical model of the wavelet coefficients. This three-component mixture model describes the coefficients in each subband as a mixture of small, medium, and large coefficients to which different amplification factors are assigned. The model parameters are estimated from each subband using the EM algorithm. The algorithm has a small number of user-specified parameters while can obtain good enhancement results.
引用
收藏
页码：590 / 595
页数：6
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