Denoising using the K-SVD Method
نویسندگان
چکیده
Sparse representation of images has been a recent area of growing interest. It finds applications in many problems in image processing. In this report we study a particular method of achieving sparse representation using the recently proposed K-SVD algorithm by Aharon et al. [1] and how this sparse representation framework has been extended to perform denoising, as illustrated by the authors in [2]. Suitable illustrations along with the theory is detailed in this report to help in understanding of the intricacies of this method.
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