A novel de-noising method based on Independent Component Analysis(ICA) for DMD based Hadamard Transform Spectral Imager

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	A novel de-noising method based on Independent Component Analysis(ICA) for DMD based Hadamard Transform Spectral Imager
	QianQingMing; HuBingLiang; XuJun; LiuCaiFang; TanXiaoBing; Qian Qingming
	2011
会议名称	2011 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, CSQRWC 2011
会议录名称	Proceedings of 2011 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, CSQRWC 2011
页码	1437-1441
会议日期	July 27, 2011 - July 30, 2011
会议地点	Harbin, China
产权排序	1
摘要	A new de-noising method based on Independent Component Analysis (ICA) is proposed for imaging characteristics of Digital Micro-mirror Device (DMD) based Hadamard Transform Spectral Imager. As the ubiquitous Gaussian white noises caused by diffractions and other unknown factors in the optical instrument severely confine the usage of the spectral image. ICA is a powerful technique in recovering latent independent sources given only from the mixtures. Based on the fundamental analyzing mode of ICA, the projection of the spectral image is calculated under the transform bases. Then the de-noising processing is carried out by using the soft threshold arithmetic operators. The rebuild spectral image can be acquired by an inverse transform at last. Experiments demonstrate that the proposed ICA algorithm achieves a higher peak signal noise ration (PSNR) and subjective vision effects compared with traditional spectral image de-noising methods.
关键词	De-noising Lea Dmd Hadamard Transform Psnr
作者部门	光谱成像技术实验室
收录类别	EI
ISBN号	9781424497904
语种	英语
文献类型	会议论文
条目标识符	http://ir.opt.ac.cn/handle/181661/20034
专题	光谱成像技术研究室
通讯作者	Qian Qingming
推荐引用方式 GB/T 7714	QianQingMing,HuBingLiang,XuJun,et al. A novel de-noising method based on Independent Component Analysis(ICA) for DMD based Hadamard Transform Spectral Imager[C],2011:1437-1441.

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