K-SVD Based Denoising Algorithm for DoFP Polarization Image Sensors

doi:10.1109/ISCAS.2018.8350922

	K-SVD Based Denoising Algorithm for DoFP Polarization Image Sensors
	Li, Shiting 1,2; Ye, Wenbin 1; Liang, Huawei 2; Pan, Xiaofang 3; Lou, Xin4 ; Zhao, Xiaojin 1
	2018
会议录名称	2018 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)
ISSN	0271-4302
卷号	2018-May
发表状态	已发表
DOI	10.1109/ISCAS.2018.8350922
摘要	This paper presents a novel K times singular value decomposition (K-SVD) based denoising algorithm for the division-of-focal-plane (DoFP) polarization image sensors. In the proposed implementation, the input DoFP image can be expressed by the optimum sparse combination of the dictionary elements via K-SVD and orthogonal matching pursuit (OMP) algorithms. As a result, this implementation is capable of eliminating the Gaussian noise significantly and well-preserving the details and edges of the target DoFP image. Our extensive experimental results on various test images show that the proposed algorithm yields better visual quality and maintains a lower PSNR value while compared with a wide range of previous implementations.
会议录编者/会议主办者	IEEE,Politecnico Torino,Analog Devices,CADENCE,Texas Instruments,AiCTX,Springer Nat,River Publishers,Nat Electron,CAS
关键词	Noise reduction Matching pursuit algorithms Dictionaries Interpolation Gaussian noise Visualization Training
会议名称	IEEE International Symposium on Circuits and Systems (ISCAS)
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
会议地点	Florence
会议日期	27-30 May 2018
URL	查看原文
收录类别	CPCI ; EI ; CPCI-S
语种	英语
资助项目	Fundamental Research Foundation of Shenzhen[JCYJ20160520170741660] ; Fundamental Research Foundation of Shenzhen[JCYJ20160308094919279]
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000451218700036
出版者	IEEE
EI入藏号	20184806146056
EI主题词	Gaussian noise (electronic) ; Image sensors ; Polarization
EI分类号	Mathematics:921
WOS关键词	INTERPOLATION ; DIVISION
原始文献类型	Proceedings Paper
来源库	IEEE
引用统计	正在获取...
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/28937
专题	信息科学与技术学院_PI研究组_娄鑫组
通讯作者	Zhao, Xiaojin
作者单位	1.Shenzhen Univ, Coll Elect Sci & Technol, Shenzhen, Peoples R China 2.Shenzhen Univ, Coll Optoelect Engn, Shenzhen, Peoples R China 3.Shenzhen Univ, Coll Informat Engn, Shenzhen, Peoples R China 4.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China
推荐引用方式 GB/T 7714	Li, Shiting,Ye, Wenbin,Liang, Huawei,et al. K-SVD Based Denoising Algorithm for DoFP Polarization Image Sensors[C]//IEEE,Politecnico Torino,Analog Devices,CADENCE,Texas Instruments,AiCTX,Springer Nat,River Publishers,Nat Electron,CAS. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018.