Learning ramp transformation for single image super-resolution


We propose the use of explicitly identified image structure to guide the solution of the single image super-resolution (SR) problem. We treat the image as a layout of homogeneous regions, surrounded by ramp edges of a larger contrast. Ramps are characterized by the property that any path through any ramp pixel, monotonically leading from one to the other… (More)
DOI: 10.1016/j.cviu.2015.01.004


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