红外技术Issue(4)：290-293,4.
自适应加权的总变分正则化图像超分辨率重建
A Super-Resolution Algorithm Based on Adaptive Weighted Total Variation
摘要
Abstract
In bilateral total variation regularization method(BTV), which was proposed by Farsiu, the scale weight is a constant, so the image reconstruction effect is not ideal for texture and edge region. In order to solve this problem, an adaptive weighted regularization function and regularization parameter algorithm is proposed in this paper. In the proposed algorithm, the local structure information of image is used to control the shape, bandwidth of the weighted function and the regularization parameter. The experimental results show that the proposed algorithm, compared with BTV, can retain the image details better and improve the image contrast.关键词
超分辨率重建/自适应加权/总变分/正则化参数Key words
super resolution reconstruction/adaptive weight/total variation/regularization parameter分类
信息技术与安全科学引用本文复制引用
蒋晓慧,赵勋杰,李成金,张雪松..自适应加权的总变分正则化图像超分辨率重建[J].红外技术,2014,(4):290-293,4.基金项目
国防科技重点实验室基金项目。 （）
