{"title":"An EM- and wavelet-based multi-band image restoration approach","authors":"Yifan Zhang","doi":"10.1109/ICDSP.2014.6900738","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 19th International Conference on Digital Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSP.2014.6900738","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
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.