Study on infrared image super-resolution reconstruction based on an improved POCS algorithm

作     者：Shaosheng Dai Junjie Cui Dezhou Zhang Qin Liu Xiaoxiao Zhang 

作者机构：Chongqing University of Posts and TelecommunicationsChongqing 400065China 

出 版 物：《Journal of Semiconductors》 (半导体学报（英文版）)

年 卷 期：2017年第38卷第4期

页      面：78-82页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：Project supported by the National Natural Science Foundation of China(Nos.61275099,61671094) the Natural Science Foundation of Chongqing Science and Technology Commission(No.CSTC2015JCYJA40032) 

主　　题：POCS infrared image super resolution initial estimation 

摘      要：Aiming at the disadvantages of the traditional projection onto convex sets of blurry edges and lack of image details,this paper proposes an improved projection onto convex sets（POCS） method to enhance the quality of image super-resolution reconstruction（SRR）.In traditional POCS method,bilinear interpolation easily blurs the *** order to improve the initial estimation of high-resolution image（HRI） during reconstruction of POCS algorithm,the initial estimation of HRI is obtained through iterative curvature-based interpolation（ICBI） instead of bilinear *** with the traditional POCS algorithm,the experimental results in subjective evaluation and objective evaluation demonstrate the effectiveness of the proposed *** visual effect is improved significantly and image detail information is preserved better.