摘要
"鬼"成像(GI)提供了一种用常规手段很难达到的特殊的获取图像方法,在量子光学领域是近些年来的前沿和热点之一。本文中,主要研究压缩感知(CS)的重构算法在"鬼"成像中的应用。我们使用具有高斯分布的热光源强度分布,来作为压缩感知的测量矩阵,分别以离散余弦变换(DCT)和离散小波变换(DWT)作为压缩感知中图像物体的稀疏矩阵,利用正交匹配追踪算法,最终获得基于压缩感知重构算法的"鬼"成像。研究结果表明,压缩比为0.5时,基于离散余弦变换基的压缩"鬼"成像(DCT-CS)和基于小波变换基的压缩"鬼"成像(DWT-CS),比"鬼"成像原始重建算法有超过10dB的峰值信噪比提升;同时,基于DCT-CS算法的重建质量要优于DWT-CS算法。
Ghost hnaging（GI） provides a special method to get an image, when it is difficult using conventional methods. Which has become one of the hot topics in quantum optics recently. In this paper, we discuss the application of Compressed Sensing （CS） in GI system. We utilize the intensity distribution of the thermal light distributed like Gaussian distribution as the measurement matrix of CS, select the Discrete Cosine Transform （DCT） and Discrete Wavelet Transform （DWT） as the sparse matrix of the image object, adopt the Orthogonal Matching Pursuit （OMP） algorithm as CS reconstruction algorithm, and obtain the reconstructed image. The result shows that the quality of GI with CS using DCT and DWT has enhanced to more than 10dB in Peak Signal-to-Noise Ratio（PSNR） to the result with original GI algorithm when the compression rate is 0.5. At the same time, the quality of DCT-CS algorithm has a little improvement to that of DWT-CS algorithm.
出处
《信号处理》
CSCD
北大核心
2013年第6期677-683,共7页
Journal of Signal Processing
基金
国家自然科学基金(61271238)
中国高等教育博士学科点专项科研基金(20123223110003)
江苏省高校自然科学研究重大项目(11KJA510002)
固体微结构物理国家重点实验室开放课题(M25020,M25022)
关键词
压缩感知
“鬼”成像
离散余弦变换
离散小波变换
正交匹配追踪
Compressed sensing
＂Ghost＂ imaging
Discrete cosine transform
Discrete wavelet transform
Orthogonalmatching pursuit
