%0 Journal Article
%T A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary
%A Zhe Liu
%A Xiaoxian Zhen
%A Cong Ma
%J Journal of Computers
%D 2012
%I Academy Publisher
%R 10.4304/jcp.7.2.444-449
%X Image sparse representation plays a vital role in the process of image reconstruction. In recent years, several pioneering works suggested that signals/images could be represented sparsely with a redundant dictionary. The selection of components from the dictionary directly influences the precision of the reconstructed image, while the scale of dictionary influences the computational efficiency. This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases
%K component
%K concatenated dictionary
%K sparse decomposition
%K matching pursuit
%K orthogonal bases
%U http://ojs.academypublisher.com/index.php/jcp/article/view/6787