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Volume: 28 | Article ID: art00019
Fast edge-directed single-image super-resolution
  DOI :  10.2352/ISSN.2470-1173.2016.15.IPAS-027  Published OnlineFebruary 2016

We present a novel method for single-image super-resolution (SR). In natural images, spatial edges usually have smooth contours. From this observation, we derive a fast edge-preserving natural image prior using our proposed fast edge-directed interpolation (EDI) method, and combine this prior with the wellknown sparse gradient prior into a maximum-a-posteriori (MAP) formulation of the SR problem. We develop an efficient primaldual algorithm to solve the inverse problem. The application of our edge-preserving prior adds little computational overhead and the output produced by our method demonstrates that results are better than those of the state-of-the-art conventional methods.

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Mushfiqur Rouf, Dikpal Reddy, Kari Pulli, Rabab Ward, "Fast edge-directed single-image super-resolutionin Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Processing: Algorithms and Systems XIV,  2016,

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