期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2016
卷号：11
期号：5
页码：367-376
DOI：10.14257/ijmue.2016.11.5.34
出版社：SERSC
摘要：In the paper a weighted Projection onto to convex sets (POCS) algorithm for image super-resolution reconstruction is proposed, which using POCS scheme to reconstruct image without knowing the degradation model and related parameters. In the proposed algorithm, adaptive block matching is utilized to estimate translational motion among various images firstly, and then APRX algorithm is adopted to estimate the point spread function (PSF) and the ideal high resolution image. Finally based on the traditional POCS algorithm, the paper introduced the prior information about low resolution image definition into POCS to calculate the residual and control the threshold by weighted parameter of image relative definition, and realized the dynamic threshold selection in the whole progress of reconstruction. Results of experiments show that the algorithm in the objective evaluation and visual effects achieves better reconstruction results, which confirm the validity and robustness of the proposed algorithm.
关键词：Blind super-resolution reconstruction; Projection onto convex sets; Motion ; estimation; Point spread function; Image average gradient
