Laser & Optoelectronics Progress, Volume. 53, Issue 12, 121101(2016)
Compressed Imaging Experiments Based on Gradient Projection Algorithm Reconstruction and Image Quality Assessment
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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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
Category: Imaging Systems
Received: Aug. 1, 2016
Accepted: --
Published Online: Dec. 14, 2016
The Author Email: Lei Wang (wlchx200808@163.com)