NDLI: Improved total variation based image compressive sensing recovery by nonlocal regularization

Content Provider	IEEE Xplore Digital Library
Author	Jian Zhang Shaohui Liu Ruiqin Xiong Siwei Ma Debin Zhao
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China (Jian Zhang; Shaohui Liu; Debin Zhao) \|\| Inst. of Digital Media, Peking Univ., Beijing, China (Ruiqin Xiong; Siwei Ma)
Abstract	Recently, total variation (TV) based minimization algorithms have achieved great success in compressive sensing (CS) recovery for natural images due to its virtue of preserving edges. However, the use of TV is not able to recover the fine details and textures, and often suffers from undesirable staircase artifact. To reduce these effects, this paper presents an improved TV based image CS recovery algorithm by introducing a new nonlocal regularization constraint into CS optimization problem. The nonlocal regularization is built on the well known nonlocal means (NLM) filtering and takes advantage of self-similarity in images, which helps to suppress the staircase effect and restore the fine details. Furthermore, an efficient augmented Lagrangian based algorithm is developed to solve the above combined TV and nonlocal regularization constrained problem. Experimental results demonstrate that the proposed algorithm achieves significant performance improvements over the state-of-the-art TV based algorithm in both PSNR and visual perception.
Starting Page	2836
Ending Page	2839
File Size	728414
Page Count	4
File Format	PDF
ISBN	9781467357609
ISSN	02714302
e-ISBN	9781467357623
DOI	10.1109/ISCAS.2013.6572469
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	TV Compressed sensing Algorithm design and analysis PSNR Signal processing algorithms Image restoration Image edge detection nonlocal regularization Compressive sensing augmented Lagrangian total variation image recovery
Content Type	Text
Resource Type	Article

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