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Information Technology Journal
Year: 2014  |  Volume: 13  |  Issue: 1  |  Page No.: 94 - 101

Sub-dictionary Based Sparse Representation for Efficient Super-resolution Image Reconstruction

Hao-Xian Wang, Zhe-Ming Lu, Yong Zhang and Zhuo-Zhi Diao    

Abstract: Super-resolution image reconstruction is an important digital image processing technique, which can improve the visual effects of images or serve as a pre-processing technique. Because of its impressive reconstruction results, sparse representation based super-resolution image reconstruction has become the focus of recent research. In order to alleviate the high computational complexity of the traditional sparse representation schemes, this study presents a fast sub-dictionary-based super-resolution reconstruction method. For each small input image block, a sub-dictionary is adaptively selected and thus the high-dimensional redundant dictionary-based sparse representation vector is replaced by a low-dimensional sub-dictionary based representation vector, the computational complexity is therefore reduced. Experimental results demonstrate that the proposed method can enhance the visual effects of images with a significantly low computational complexity.

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