Image Super-Resolution Based on Sparse Representation via Direction and Edge Dictionaries

Single Image Super-Resolution Based on Sparse Representation Via Structurally Directional Dictionaries in Wavelet Domain

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Single Image Super Resolution Based on Sparse Representation via Structurally Directional Dictionaries

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A Sparse Representation Based Super-resolution Image Reconstruction Scheme Utilizing Dual Dictionaries

Super-resolution (SR) image reconstruction is a technique to generate a high resolution (HR) image from several low resolution (LR) images of the same scene, which can improve the visual effect of images or serve as a pre-processing technique. Among various SR image reconstruction schemes, sparse representation based SR image reconstruction schemes have become the current research focus because...

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Multi-morphology image super-resolution via sparse representation

A novel multi-morphology image super-resolution algorithm via sparse representation is proposed in this paper. Firstly, the observed low resolution image is decomposed into a linear combination of morphological components by morphological component analysis. Secondly, for effective representation of different components, each dictionary pair is learned from the low resolution component and comp...