Unknown noise removal via sparse representation model | |
Zhang JC(张俊超)1,2,3,4,5; Luo HB(罗海波)1,2,3,5; Hui B(惠斌)1,2,3,5; Chang Z(常铮)1,2,3,5; Zhang XY(张祥越)1,2,3,4,5 | |
刊名 | ISA Transactions
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2019 | |
卷号 | 94页码:135-143 |
关键词 | Image denoising Mixed noise Sparse representation Dictionary learning |
ISSN号 | 0019-0578 |
产权排序 | 1 |
英文摘要 | To remove more complex or unknown noise, we propose a new dictionary learning model by assuming noise as Mixture of Gaussian (MoG) distributions. Since MoG is able to approximate any continuous distributions universally, the proposed method can effectively recover the original image from the corrupted one with various forms of noise. Meanwhile, to solve weighted 2−0 minimization problems, we further propose modified orthogonal matching pursuit method in sparse coding and extend alternating proximal algorithm to update dictionaries. Experimental results demonstrate that our proposed method is superior to several previous denoising methods in terms of quantitative measures and visual quality. |
资助项目 | China Scholarship Council (CSC)[201704910730] |
WOS关键词 | IMPULSE NOISE ; THRESHOLDING ALGORITHM ; IMAGE ; WAVELET ; DECOMPOSITION ; DOMAIN ; FILTER |
WOS研究方向 | Automation & Control Systems ; Engineering ; Instruments & Instrumentation |
语种 | 英语 |
WOS记录号 | WOS:000501655900013 |
资助机构 | China Scholarship Council (CSC) (grant numbers 201704910730) |
内容类型 | 期刊论文 |
源URL | [http://ir.sia.cn/handle/173321/24470] ![]() |
专题 | 沈阳自动化研究所_光电信息技术研究室 |
通讯作者 | Zhang JC(张俊超) |
作者单位 | 1.The Key Lab of Image Understanding and Computer Vision, Liaoning Province, Shenyang 110016, China 2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 3.Institutes of Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 4.University of Chinese Academy of Sciences, Beijing 100049, China 5.Key Laboratory of Opto-Electronic Information Processing, CAS, Shenyang 110016, China |
推荐引用方式 GB/T 7714 | Zhang JC,Luo HB,Hui B,et al. Unknown noise removal via sparse representation model[J]. ISA Transactions,2019,94:135-143. |
APA | Zhang JC,Luo HB,Hui B,Chang Z,&Zhang XY.(2019).Unknown noise removal via sparse representation model.ISA Transactions,94,135-143. |
MLA | Zhang JC,et al."Unknown noise removal via sparse representation model".ISA Transactions 94(2019):135-143. |
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