DocumentCode
239585
Title
An EM- and wavelet-based multi-band image restoration approach
Author
Yifan Zhang
Author_Institution
Shaanxi Key Lab. of Inf. Acquisition & Process., Northwestern Polytech. Univ., Xi´an, China
fYear
2014
fDate
20-23 Aug. 2014
Firstpage
617
Lastpage
620
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.
Keywords
expectation-maximisation algorithm; geophysical image processing; hyperspectral imaging; image fusion; image resolution; image restoration; EM-based multiband image restoration approach; expectation-maximization algorithm; hyperspectral image fusion; hyperspectral image restoration; multispectral image fusion; multispectral image restoration; spatial resolutions; spectral resolutions; wavelet-based multiband image restoration approach; Digital signal processing; Image restoration; Noise; Remote sensing; Spatial resolution; Wavelet domain; Expectation-Maximizition (EM) algorithm; hy-perspectral image; multipectral image; restoration;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing (DSP), 2014 19th International Conference on
Conference_Location
Hong Kong
Type
conf
DOI
10.1109/ICDSP.2014.6900738
Filename
6900738
Link To Document