An Algorithm for Image Enhancement via Sparse Representation

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Abstract:

This paper presents an approach of enhance images subjective visual quality, based on image sparse representation. Firstly, comparativing and analysing the performance of the current several popular image denoising methods by two kinds of different content image, and using the K-SVD, MB3D and CSR algorithm, we obtain clean images namely the images noise removing. Then, decomposing the already denoised image into both cartoon and texture component by Morphological Component Analysis (MCA ) method, and superresolution the cartoon part and enhance the contrast of the texture in image. Finally, fusion between the cartoon and the texture gain the desired image.

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4806-4810

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May 2014

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