Article ID Journal Published Year Pages File Type
558742 Digital Signal Processing 2014 10 Pages PDF
Abstract

A new Bayesian Super-Resolution (SR) image registration and reconstruction method is proposed. The new method utilizes a prior distribution based on a general combination of spatially adaptive, or non-stationary, image filters, which includes an adaptive local strength parameter able to preserve both image edges and textures. With the application of variational techniques, the proposed method allows for the automatic estimation of all problem unknowns. An experimental comparison between state of the art methods and the proposed SR approach has been performed on both synthetic and real images.

Related Topics
Physical Sciences and Engineering Computer Science Signal Processing
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