NDLI: L-R restoration method of millimeter wave image based on NNSC shrinkage technique

Content Provider	IEEE Xplore Digital Library
Author	Li Shang Pin-gang Su Ji-xiang Du
Copyright Year	2011
Description	Author affiliation: Department of Computer Science and Technology, Huaqiao University, Quanzhou 362021 China (Ji-xiang Du) \|\| Department of Electronic Information Engineering, Suzhou Vocational University, 215104 China (Li Shang; Pin-gang Su)
Abstract	In the restoration methods of millimeter wave (MMW) images, Lucy-Richardson (L-R) is a simple and efficient nonlinear method, but it can't obtain better restoration result when an image is contaminated by large noise. Non-negative sparse coding shrinkage (NNSCS) technique is a self-adaptive sparse representation method and is flexible in describing data, as well as it can reduce noise efficiently without losing features of images. Considering the advantages of L-R algorithm and NNSCS method, a new image restoration method of MMW is proposed in this paper. At first, the NNSC feature bases are learned by using some clear natural images, then the noise in MMW is reduced by using the NNSCS function, and last, the restoration image can be obtained by using L-R algorithm to denoised MMW image. This modified image restoration reduces hardly the noise effect on L-R method, and improves hardly the property of L-R algorithm. Simulation experimental results show that our method proposed here is feasible and efficient in restoring image with low resolution.
Starting Page	790
Ending Page	793
File Size	700796
Page Count	4
File Format	PDF
ISBN	9781424493043
e-ISBN	9781424493067
DOI	10.1109/CISP.2011.6100349
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Image resolution L-R image restoration Millimeter wave image NNSC shrinkage Image restoration Mathematical model Signal to noise ratio Noise level
Content Type	Text
Resource Type	Article

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