Dictionary learning based impulse noise removal via L1-L1 minimization

	Dictionary learning based impulse noise removal via L1-L1 minimization
	Shanshan Wang; Qiegen Liu; Yong Xia; Pei Dong; Jianhua Luo; Qiu Huang; David Dagan Feng
刊名	SIGNAL PROCESSING
	2013
英文摘要	To effectively remove impulse noise in natural images while keeping image details intact, this paper proposes a dictionary learning based impulse noise removal (DL-INR) algorithm, which explores both the strength of the patch-wise adaptive dictionary learning technique to image structure preservation and the robustness possessed by the ℓ1-norm data-fidelity term to impulse noise cancellation. The restoration problem is mathematically formulated into an ℓ1–ℓ1 minimization objective and solved under the augmented Lagrangian framework through a two-level nested iterative procedure. We have compared the DL-INR algorithm to three median filter based methods, two state-of-the-art variational regularization based methods and a fixed dictionary based sparse representation method on restoring impulse noise corrupted natural images. The results suggest that DL-INR has a better ability to suppress impulse noise than other six algorithms and can produce restored images with higher peak signal-to-noise ratio (PSNR).
收录类别	SCI
原文出处	http://www.sciencedirect.com/science/article/pii/S0165168413000790
语种	英语
WOS记录号	WOS:000320347600033
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/4780]
专题	深圳先进技术研究院_医工所
作者单位	SIGNAL PROCESSING
推荐引用方式 GB/T 7714	Shanshan Wang,Qiegen Liu,Yong Xia,et al. Dictionary learning based impulse noise removal via L1-L1 minimization[J]. SIGNAL PROCESSING,2013.
APA	Shanshan Wang.,Qiegen Liu.,Yong Xia.,Pei Dong.,Jianhua Luo.,...&David Dagan Feng.(2013).Dictionary learning based impulse noise removal via L1-L1 minimization.SIGNAL PROCESSING.
MLA	Shanshan Wang,et al."Dictionary learning based impulse noise removal via L1-L1 minimization".SIGNAL PROCESSING (2013).