An EM- and wavelet-based multi-band image restoration approach

被引：0
|
作者：
Zhang, Yifan [1 ]
机构：
[1] Northwestern Polytech Univ, Sch Elect & Informat, Shaanxi Key Lab Informat Acquisit & Proc, Xian 710129, Peoples R China
来源：
2014 19TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP) | 2014年
关键词：
Expectation-Maximizition (EM) algorithm; hyperspectral image; multipectral image; restoration; FUSION;
D O I：
暂无
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：
This work presents a restoration approach with two available observations of the same scene, each with specific spatial and spectral resolutions. The proposed restoration approach is based on a multi-band image restoration scheme employing Expectation-Maximization (EM) algorithm and implemented in wavelet domain. It can be easily applied in hyperspectral and multispectral image fusion and restoration to acquire image with both high spatial and spectral resolutions. Simulation experiment is employed to validate the proposed approach. A performance comparison is made with its counterparts in image domain.
引用
收藏
页码：617 / 620
页数：4
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