Sparse Representation and Applications in Image Processing
Author(s): SUN Jun-ding, ZHAO Hui-hui
Pages: 533-537
Year: 2014 Issue: 7
Journal: Infrared Technology
Keyword: sparse representation; sparse decomposition; dictionary learning; image processing;
Abstract: As an effective image representation method, sparse representation technique has been extensively studied and it has been widely used in the field of image processing. Based on the analysis of the sparse representation models in the paper, the key problems of the models are discussed in detail including sparse decomposition and dictionary learning. Then, the applications of sparse representation in the fields of image denoising, image inpainting, face recognition, and compressed sensing are summarized in detail. Finally, the problems in research of sparse representation are discussed and the research direction is also given in the paper.
Pages: 533-537
Year: 2014 Issue: 7
Journal: Infrared Technology
Keyword: sparse representation; sparse decomposition; dictionary learning; image processing;
Abstract: As an effective image representation method, sparse representation technique has been extensively studied and it has been widely used in the field of image processing. Based on the analysis of the sparse representation models in the paper, the key problems of the models are discussed in detail including sparse decomposition and dictionary learning. Then, the applications of sparse representation in the fields of image denoising, image inpainting, face recognition, and compressed sensing are summarized in detail. Finally, the problems in research of sparse representation are discussed and the research direction is also given in the paper.
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