Frontiers of Optoelectronics, 2015, 8 (2): 195, 网络出版: 2016-01-07
Reconstruction algorithm of super-resolution infrared image based on human vision processing mechanism
Reconstruction algorithm of super-resolution infrared image based on human vision processing mechanism
human vision processing mechanism(HVPM) human vision processing mechanism(HVPM) projection onto convex sets (POCS) projection onto convex sets (POCS) super-resolution super-resolution infrared image infrared image reconstruction algorithm reconstruction algorithm
摘要
Aiming at solving the problem of low resolution and visual blur in infrared imaging, a super-resolution infrared image reconstruction method using human vision processing mechanism (HVPM) was proposed. This method combined a mechanism of vision lateral inhibition with an algorithm projection onto convex sets (POCS) reconstruction, the improved vision lateral inhibition network was utilized to enhance the contrast between object and background of low-resolution image sequences, then POCS algorithm was adopted to reconstruct superresolution image. Experimental results showed that the proposed method can significantly improve the visual effect of image, whose contrast and information entropy of reconstructed infrared images were improved by approximately 5 times and 1.6 times compared with traditional POCS reconstruction algorithm, respectively.
Abstract
Aiming at solving the problem of low resolution and visual blur in infrared imaging, a super-resolution infrared image reconstruction method using human vision processing mechanism (HVPM) was proposed. This method combined a mechanism of vision lateral inhibition with an algorithm projection onto convex sets (POCS) reconstruction, the improved vision lateral inhibition network was utilized to enhance the contrast between object and background of low-resolution image sequences, then POCS algorithm was adopted to reconstruct superresolution image. Experimental results showed that the proposed method can significantly improve the visual effect of image, whose contrast and information entropy of reconstructed infrared images were improved by approximately 5 times and 1.6 times compared with traditional POCS reconstruction algorithm, respectively.
Shaosheng DAI, Zhihui DU, Haiyan XIANG, Jinsong LIU. Reconstruction algorithm of super-resolution infrared image based on human vision processing mechanism[J]. Frontiers of Optoelectronics, 2015, 8(2): 195. Shaosheng DAI, Zhihui DU, Haiyan XIANG, Jinsong LIU. Reconstruction algorithm of super-resolution infrared image based on human vision processing mechanism[J]. Frontiers of Optoelectronics, 2015, 8(2): 195.