中国计量大学学报2017，Vol.28Issue(4)：478-484,7.DOI:10.3969/j.issn.2096-2835.2017.04.012
稀疏表示图像超分辨率重建的自适应方法
An adaptive method for image super-resolution based on sparse representation
摘要
Abstract
An approach for image super-resolution with adaptive parameters was proposed under the framework of classical image super-resolution based on sparse representation.Instead of setting parameters by experience, the parameters in the proposed approach could be determined by the property of patches.It overcomes the shortcomings of the patches sharing the same parameter and improves the performance.The results of the ex-periments demonstrate that the proposed approach performs better than that without adaptive parameters in different magnification factors and a noisy environment.The three valuating indicators prove that the proposed approach is effective.关键词
稀疏表示/参数自适应/超分辨率/图像重建Key words
sparse representation/adaptive parameter/super-resolution/image reconstruction分类
信息技术与安全科学引用本文复制引用
夏荷艳,曹飞龙..稀疏表示图像超分辨率重建的自适应方法[J].中国计量大学学报,2017,28(4):478-484,7.基金项目
国家自然科学基金资助项目(No.61672477). （No.61672477）
