NDLI: MT-OMP for hyperspectral imagery denoising with model parameter estimation

Content Provider	IEEE Xplore Digital Library
Author	Minchao Ye Yuntao Qian Qi Wang
Copyright Year	2013
Description	Author affiliation: Inst. of Artificial Intell., Zhejiang Univ., Hangzhou, China (Minchao Ye; Yuntao Qian; Qi Wang)
Abstract	It is extensively accepted that much noise is included in hyperspectral imagery (HSI). Noise removal for HSI is an important but challenging task. Most denoising methods have one or more model parameters. For many algorithms, the denoising performance strongly depends on the values of parameters. In many cases, empirically selected parameters are not adaptive to various noise levels. Another challenge is the computational complexity. Since HSI has numerous bands, band by band HSI denoising is relatively time-consuming when compared to RGB or gray image. So a fast algorithm is preferred in practice. In this work, a multi-task orthogonal matching pursuit (MT-OMP) algorithm is proposed for $ℓ_{2,0}$ non-local sparse denoising. This greedy scheme is a multi-task extension of the famous OMP algorithm. The only parameter of MT-OMP is the sparse reconstruction error, which can be derived via noise variance. Furthermore, it is time-efficient and easy to implement. The experimental results show advantages of the proposed MT-OMP algorithm.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	1079
Ending Page	1082
File Size	884088
Page Count	4
File Format	PDF
ISBN	9781479911141
ISSN	21536996
DOI	10.1109/IGARSS.2013.6721351
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise reduction Noise Matching pursuit algorithms Three-dimensional displays Image reconstruction Discrete wavelet transforms Dictionaries parameter estimation Hyperspectral imagery noise removal MT-OMP
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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