# Local Sparse Approximation for Image Restoration with Adaptive Block Size Selection

@article{Sahoo2016LocalSA, title={Local Sparse Approximation for Image Restoration with Adaptive Block Size Selection}, author={S. K. Sahoo}, journal={ArXiv}, year={2016}, volume={abs/1612.06738} }

In this paper the problem of image restoration (denoising and inpainting) is approached using sparse approximation of local image blocks. The local image blocks are extracted by sliding square windows over the image. An adaptive block size selection procedure for local sparse approximation is proposed, which affects the global recovery of underlying image. Ideally the adaptive local block selection yields the minimum mean square error (MMSE) in recovered image. This framework gives us a… Expand

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Image Denoising via Sparse Representation Over Grouped Dictionaries With Adaptive Atom Size

- Computer Science, Mathematics
- IEEE Access
- 2017

An effective image denoising algorithm with the improved dictionaries is presented by using sparse representation over the constructed grouped dictionaries with adaptive atom size and experimental results show that the proposed method achieves betterDenoising performance than related Denoising algorithms, especially in image structure preservation. Expand

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