Reconstruction algorithm of super-resolution infrared image based on human vision processing mechanism

• Published in: Frontiers of Optoelectronics (Online) Vol. 8; no. 2; pp. 195 - 202
• Main Authors: DAI, Shaosheng, DU, Zhihui, XIANG, Haiyan, LIU, Jinsong
• Format: Journal Article
• Language: English
• Published: Beijing Higher Education Press 01.06.2015
• Subjects: Biomedical Engineering and Bioengineering; Electrical Engineering; Engineering; human vision processing mechanism (HVPM); infrared image; Physics; POCS算法; projection onto convex sets (POCS); reconstruction algorithm; Research Article; super-resolution; 人眼; 侧抑制网络; 图像重建算法; 机制; 红外成像; 视觉处理; 超分辨率; infrared image; reconstruction algorithm; projection onto convex sets (POCS); super-resolution; human vision processing mechanism (HVPM)
• ISSN: 2095-2759; 2095-2767
• DOI: 10.1007/s12200-015-0440-z

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 super-resolution 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.