基于马尔科夫随机场的图像超分辨技术研究综述

Image Super Resolution Technology based on Markov Random Field

介绍了图像超分辨课题研究背景和研究意义,并对超分辨技术国内外研究现状做了梳理,根据图像输入信息的多少,将图像超分辨分为单帧图像超分辨和多帧图像超分辨两大类,同时分析了单帧图像超分辨与多帧图像超分辨的成像过程,建立了二者的图像退化模型,并基于图像退化模型,从贝叶斯角度推理得到了具有一般性的图像超分辨模型,同时还对多种图像质量评价准则进行了对比,结合图像超分辨的特点,分析了不同评价准则的特点。

The research background and significance of image super-resolution topics are introduced, and the research status of super-resolution technology both at home and abroad sorted out.According to the image input information, the image super-resolution is divided into two categories： single-frame image super-resolution and multi-frame image super-resolution.At the same time, the imaging process of single-frame image super-resolution and multl-frame image super-resolution is analyzed, and the image degradation models of these two also established.And based on the image degradation model, a general image super- resolution model is reasoned from the Bayesian angle.Finally, various image quality evaluation criteria are compared.Combined with the characteristics of image super-resolution, the features of different evaluation criteria are analyzed.