A Survey on Sparse Representation based Image Restoration

Sakthivel subramaniam, Parameswari Marimuthu

Abstract


In the past, image restoration based on sparse representation has resulted in better performance for natural images. Degradation of observed image is due to noise, blur and down sampled. A degraded image can be restored with the use of sparse representation. The sparse representations by predictable models may not be accurate enough for a faithful reconstruction of the original image. In order for the image restoration it is expected that sparse code should be close to that of unknown original image. Within each category of image restoration such as deblurring, denoising and super resolution different methodologies are selected for evaluation. In this paper different methodologies are reviewed for the good reference and stimulate new ideas in research field of image restoration.


Keywords


Image Denoising, Image Deblurring, Sparse Representation, Restoration

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References


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