现代电子技术2017，Vol.40Issue(17)：51-55,5.DOI:10.16652/j.issn.1004-373x.2017.17.013
基于图像块分组的加权编码去噪方法
Weighting encoding denoising method based on image blocks grouping
摘要
Abstract
It is hard to remove the image mixed noise,so a weighting encoding method based on image blocks grouping is proposed. The nonlocal similarity block in training image is used to extract the grouping blocks. The nonlocal self-similarity prior model is trained with the obtained grouping blocks. The sparse prior model and nonlocal self-similarity prior model are integrated into the regularization term and encoding framework. The experimental results show that,in comparison with other similar methods, the proposed method can improve the image reconstruction performance significantly,and obtain better quality of image restoration.关键词
加权编码/块分组/非局部自相似性/混合噪声Key words
weighting encoding/blocks grouping/nonlocal self-similarity/mixed noise分类
信息技术与安全科学引用本文复制引用
鲁亚琪,武明虎..基于图像块分组的加权编码去噪方法[J].现代电子技术,2017,40(17):51-55,5.基金项目
国家自然科学基金资助项目(61471162) （61471162）
