电子学报Issue(2)：272-279,8.DOI:10.3969/j.issn.0372-2112.2014.02.010
彩色图像去马赛克的非局部稀疏表示方法
A Nonlocal Sparse Representation Method for Color Demosaicking
摘要
Abstract
Currently ,most of the color demosaicking algorithms using only a local spatial and spectral correlation ,easily lead restored picture to blur edges and loss of fine structures .When cyclical small structures exist in the image ,these local methods are prone to the distortion of the zipper effect ,the raster effect ,etc .To solve these problems ,unifying dictionary learning and sparse coding into a variational framework ,a non-local adaptive sparse representation model is proposed through non-local similarity clus-tering and adaptive dictionary online learning .Using the local and non-local redundancy ,sparse coding constraints forced sparse cod-ing close to its non-local means to reduce coding errors .Moreover ,the fidelity term is characterized by l1-norm to suppress the heavy-tailed visual artifacts .Finally ,the joint alternating minimization method and operator splitting techniques are utilized to effec-tively solve the model .Experimental results demonstrate the effectiveness of the proposed model and the numerical algorithm .关键词
彩色去马赛克/正则化/稀疏表示/非局部相似性Key words
color demosaicking/regularization/sparse representation/nonlocal similarity分类
信息技术与安全科学引用本文复制引用
黄丽丽,肖亮,韦志辉..彩色图像去马赛克的非局部稀疏表示方法[J].电子学报,2014,(2):272-279,8.基金项目
国家自然科学基金（No ．61302178，No ．61171165，No ．61071146）；江苏省自然科学基金（No ．BK2010488）；江苏省六大人才高峰项目 （）
