Image Restoration Methods Based on Sparse Representation
SHANG Li
LIU Tao
CHEN Jie
HU Zhi-feng
Abstract：Sparse representation algorithm based on over-complete dictionary can describe images’inner structure and prior properties and realize the optimized approximation so as to be widely used in image processing. However,in order to obtain higher effect of image reconstruction,we still have some key problems to solve in sparse representation,such as the construction of dictionary models,the optimized sparse decomposition,the convergent speed of algorithms,the estimation of noise models,the linearly inseparability of low dimensional data and so on. So,some image restoration methods based on sparse representation are discussed here,and some relevant research results are of theoretical and practical significance.
Keywords：sparse representationdictionary learningover-complete dictionaryimage feature extractionimage restoration
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：14( 2-15 )