计算机与数字工程Issue(11)：2160-2163,4.DOI:10.3969/j.issn1672-9722.2014.11.039
基于稀疏表达的图像超分辨率算法实现*
Implementation of Image Super-Resolution Algorithm Based on Sparse Representation
摘要
Abstract
The method of learning‐based image super‐resolution uses the prior of samples to rebuild the high‐resolution image and has been extensively used in remote sensing ,criminal investigation and medical image .This paper analyzes the lat‐est image super‐resolution method based on sparse representation and implemented this algorithm .For the better application of this method ,this paper designs an algorithm framework based on dialog box and parameter control widgets .The result of experiments show that this framework has better availability and expansibility .关键词
图像超分辨率/稀疏表达/算法实现Key words
image super-resolution/sparse representation/algorithm implementation分类
信息技术与安全科学引用本文复制引用
肖杰,卢涛,万永静,张东..基于稀疏表达的图像超分辨率算法实现*[J].计算机与数字工程,2014,(11):2160-2163,4.基金项目
湖北省自然科学基金项目（编号2012FFA099，2012FFA134，2013CF125）；武汉市科技攻关项目（编号201301062010217）；武汉工程大学校长基金项目（编号2014063）；武汉工程大学研究生创新基金（编号CX2013103）资助。 （）
