计算机工程与应用Issue(23)：186-190,5.DOI:10.3778/j.issn.1002-8331.1208-0107
融合学习算法的单帧图像超分辨率复原
Single image super-resolution combined with learning algorithm
摘要
Abstract
In order to reconstruct a high-resolution image from single highly blurred image, a super-resolution reconstruction method combined with adaptive regularization and learning algorithm is proposed. Based on local characteristics, the dynamic adaptive control progress of reconstruction method is achieved. Train set, prediction principle and searching progress of learning algorithm is optimized to depress the relativity of example image and improve the searching efficiency. Experimental results demonstrate the availability of the method by steps, and the improvement of reconstruction result.关键词
图像复原/超分辨率/正则化/学习算法Key words
image reconstruction/super-resolution/regularization/learning algorithm分类
信息技术与安全科学引用本文复制引用
黄全亮,刘水清,孙金海,陈柯..融合学习算法的单帧图像超分辨率复原[J].计算机工程与应用,2013,(23):186-190,5.基金项目
国家自然科学基金（No.60705018）。 （）
