Infrared image reconstruction based on a modified block compressed sensing

Qin Hanlin; Han Jiaojiao; Yan Xiang; Zhou Huixin; Li Jia; Zeng Qingjie

doi:10.11884/HPLPB201426.121011

Volume 26 Issue 12

Sep. 2015

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Article Navigation > High Power Laser and Particle Beams > 2014 > 26(12): 121011

Sun Dimin, Ma Guowu, Huang Yinhu, et al. Experimental study on 95 GHz, TE02 mode third-harmonic gyrotron[J]. High Power Laser and Particle Beams, 2015, 27: 070101. doi: 10.11884/HPLPB201527.070101

Citation:

Qin Hanlin, Han Jiaojiao, Yan Xiang, et al. Infrared image reconstruction based on a modified block compressed sensing[J]. High Power Laser and Particle Beams, 2014, 26: 121011. doi: 10.11884/HPLPB201426.121011

Sun Dimin, Ma Guowu, Huang Yinhu, et al. Experimental study on 95 GHz, TE02 mode third-harmonic gyrotron[J]. High Power Laser and Particle Beams, 2015, 27: 070101. doi: 10.11884/HPLPB201527.070101

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Infrared image reconstruction based on a modified block compressed sensing

doi: 10.11884/HPLPB201426.121011

1.
School of Physics and Optoelectronic Engineering,Xidian University,Xi’an 710071,China;
2.
Science Institute,Air Force Engineering University,Xi’an 710051,China

Received Date: 2014-08-17
Rev Recd Date: 2014-10-27
Publish Date: 2014-12-16

Abstract

Abstract

Regarding to the reconstruction problem of an infrared image in compressed sensing, we proposed a modified block compressed sensing method. First, the original infrared image is divided into small blocks, each of which is sampled with a Gaussian random matrix to generate a small amount of measurement data. Second, Spectral Graph Wavelet transform with excellent sparse features is applied into reconstruction process of projected Landweber algorithm, and the hybrid median filter is used for enhancing image smoothness and reducing block artifacts. Finally, the high-quality infrared image satisfied termination conditions is obtained. Experimental results on various types of infrared images show that the proposed method attains much better performance in CS recovery than the conventional ones and can obtain higher quality infrared images.
- infrared imaging,
- image reconstruction,
- block compressed sensing,
- spectral graph wavelet,
- hybrid median filter

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