基于梯度投影算法重构的压缩成像实验及质量评价

汪磊; 马彦鹏; 姚波; 王义坤; 韩贵丞; 亓洪兴

doi:doi:10.3788/lop53.121101

激光与光电子学进展, 2016, 53 (12): 121101, 网络出版: 2016-12-14

基于梯度投影算法重构的压缩成像实验及质量评价下载： 669次

Compressed Imaging Experiments Based on Gradient Projection Algorithm Reconstruction and Image Quality Assessment

论文大纲

汪磊 ^1,2,*马彦鹏 ^1,2姚波 ¹王义坤 ¹韩贵丞 ¹亓洪兴 ^1,2

作者单位

¹ 中国科学院上海技术物理研究所空间主动光电技术与系统实验室, 上海 200083

² 中国科学院大学, 北京 100049

成像系统压缩成像梯度投影算法图像质量评价子空间分析 imaging systems compressed imaging gradient projection algorithm image quality assessment subspace analysis

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摘要

压缩成像方式既可以避免在红外波段追求大面阵器件, 又可以解决图像获取时难以消除的自身非均匀性, 信噪比低, 航空航天成像应用中的图像采集、传输、存储成本越来越高等问题。详细分析了该成像系统的原理模型, 搭建成像原理样机, 采用梯度投影算法进行图像重构的成像实验。在重构图像的质量评价中引入了信号子空间分析方法, 估计重构图像的信噪比。实验结果表明, 该信噪比估计方法更加准确有效。

Abstract

Compressed imaging avoids pursuing large array devices in infrared band, and it can solve problems like the heterogeneity which is difficult to eliminate during the image acquisition, low sound to noise ratio, higher and higher cost of acquiring, transmitting and storing images in the aerospace imaging applications and so on. The principle model of the compressed imaging system is analyzed in details, an imaging principle prototype is built, and the experiments of image reconstruction are conducted by the gradient projection algorithm. The signal subspace analysis is introduced in quality assessment of the reconstructed image to estimate the signal to noise ratio of the reconstructed image. Experimental results show that the proposed estimation method is more accurate and effective.

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汪磊, 马彦鹏, 姚波, 王义坤, 韩贵丞, 亓洪兴. 基于梯度投影算法重构的压缩成像实验及质量评价[J]. 激光与光电子学进展, 2016, 53(12): 121101. Wang Lei, Ma Yanpeng, Yao Bo, Wang Yikun, Han Guicheng, Qi Hongxing. Compressed Imaging Experiments Based on Gradient Projection Algorithm Reconstruction and Image Quality Assessment[J]. Laser & Optoelectronics Progress, 2016, 53(12): 121101.

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