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 :
بازگشت