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

查看全文 作　　者：Shaosheng [1]Dai;Junjie [1]Cui;Dezhou [1]Zhang;Qin [1]Liu;Xiaoxiao [1]Zhang

机构地区：[1]Chongqing University of Posts and Telecommunications,Chongqing 400065,China

出　　处：《Journal of Semiconductors》索引2017年第38卷第4期,共5页

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) 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 image.In 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 interpolation.Compared with the traditional POCS algorithm,the experimental results in subjective evaluation and objective evaluation demonstrate the effectiveness of the proposed method.The visual effect is improved significantly and image detail information is preserved better. 关键词：POCS infrared image SUPER-RESOLUTION initial estimation

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

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