Sparse representation based on multiscale bilateral filter for infrared image using compressed sensing

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 动态光学成像研究室

	Sparse representation based on multiscale bilateral filter for infrared image using compressed sensing
	Han, Jiaojiao 1; Qin, Hanlin 1; Leng, Hanbing 2; Yan, Xiang 1; Li, Jia 1,3; Zhou, Huixin 1
	2015
会议名称	applied optics and photonics, china: optical and optoelectronic sensing and imaging technology, aopc 2015
会议日期	2015-05-06
会议地点	beijing, china
通讯作者	qin, hanlin (hlqin@mail.xidian.edu.cn)
英文摘要	compressed sensing is an arisen and significant theory, which has been widely used in infrared image reconstruction and many methods based on compressed sensing have been proposed. however, the existing methods can hardly accurately reconstruct infrared images. considering that the sparsity of an infrared image plays a crucial role in compressed sensing to accurately reconstruct image, this paper presents a new sparse representation (mbfsf) that integrates the multiscale bilateral filter with shearing filter to overcome the above disadvantage. firstly, one approximation subband image and a series of detail subband images at different scales and directions are obtained by the mbfsf. then, in view of the feature that the most information is preserved in the approximation subband image, the proposed method only measures the detail subband images and preserves the approximation subband image. subsequently, a very sparse random measurement matrix is used for the measurement at the detail subband images to reduce the computation cost and storage of large random measurement matrices in compressed sensing. finally, an accelerated iterative hard thresholding algorithm is employed to reconstruct the infrared image. experimental results show that the proposed method has superior performance in terms of reconstruction accuracy and compares favorably with existing compressed sensing methods, which is an effective method in high-resolution infrared imaging based on compressed sensing. © 2015 spie.
收录类别	EI ; ISTP
产权排序	2
会议录	aopc 2015: optical and optoelectronic sensing and imaging technology
会议录出版地	spie
语种	英语
ISSN号	0277786x
内容类型	会议论文
源URL	[http://ir.opt.ac.cn/handle/181661/27702]
专题	西安光学精密机械研究所_动态光学成像研究室
作者单位	1.School of Physics and Optoelectronic Engineering, Xidian University, Xi'an, China 2.Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China 3.Science Institute, Air Force Engineering University, Xi'an, China
推荐引用方式 GB/T 7714	Han, Jiaojiao,Qin, Hanlin,Leng, Hanbing,et al. Sparse representation based on multiscale bilateral filter for infrared image using compressed sensing[C]. 见:applied optics and photonics, china: optical and optoelectronic sensing and imaging technology, aopc 2015. beijing, china. 2015-05-06.