计算成像技术实验研究及重构图像的质量评价
Received:June 30, 2016  Revised:September 01, 2016  点此下载全文
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mayanpeng The Shanghai Institute of Technical Physics of the Chinese Academy of Sciences ma.yanpeng@163.com 
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
中文摘要:针对国产化大面阵红外器件技术缺乏,用红外焦平面探测器获取图像时难以消除自身的非均匀性以及信噪比低,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。论文引入了计算成像,首先分析了这种成像系统的原理模型,然后将压缩感知理论应用于计算成像中,搭建成像原理样机,进行非压缩和压缩的计算成像实验。最后在重构的图像质量评价中引入了信号子空间分析方法,进行重构图像的信噪比估计,实验结果表明,这种信噪比估计方法更加准确有效,并且可以以此作为实验结论给出实际压缩成像时需要的合理采样次数。
中文关键词:计算成像  压缩感知  图像评价  信噪比估计  子空间分析
 
Experimental Study for Computational Imaging Technology and Quality Evaluation of Reconstructed Image
Abstract:Infrared focal plane array detector suffers from problems including the lack of localization technology of infrared devices, intrinsic non-uniformity, low signal-to-noise ratio (SNR). Image acquisition, transmission, and storage cost more and more high for the application of aerospace imaging. To overcome these difficulties, this paper analyzed the principle of computational imaging system, and then the compressive sensing theory was introduced for imaging. Next the imaging prototype was built, and compressed and uncompressed imaging had been experimented. Finally, the method of the signal subspace analysis was introduced for the quality evaluation of reconstructed image, and then the SNR of the reconstructed image was estimated using this method. Experimental results demonstrate that the SNR estimation method is more accurate and effective, and can be as an experimental conclusion that give a reasonable number of samples required for the actual compressed imaging.
keywords:Computational Imaging  Compressed Sensing  Image Quality Evaluation  SNR Estimation  Subspace Analysis
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Copyright:《Journal of Infrared And Millimeter Waves》