Clustering K-SVD for sparse representation of images
نویسندگان
چکیده
منابع مشابه
K-svd: Design of Dictionaries for Sparse Representation
In recent years there is a growing interest in the study of sparse representation for signals. Using an overcomplete dictionary that contains prototype signal-atoms, signals are described by sparse linear combinations of these atoms. Recent activity in this field concentrated mainly on the study of pursuit algorithms that decompose signals with respect to a given dictionary. In this paper we pr...
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In recent years there has been a growing interest in the study of sparse representation of signals. Using an overcomplete dictionary that contains prototype signal-atoms, signals are described by sparse linear combinations of these atoms. Applications that use sparse representation are many and include compression, regularization in inverse problems, feature extraction, and more. Recent activit...
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In recent years there has been a growing interest in the study of sparse representation of signals. Using an overcomplete dictionary that contains prototype signal-atoms, signals are described by sparse linear combinations of these atoms. Applications that use sparse representation are many and include compression, regularization in inverse problems, feature extraction, and more. Recent activit...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2019
ISSN: 1687-6180
DOI: 10.1186/s13634-019-0650-4