Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model
Most of the existing learning-based single image super-resolution (SISR) methods are trained and evaluated on simulated datasets, where the low-resolution (LR) images are generated by applying a simple and uniform degradation (i.e., bicubic downsampling) to their high-resolution (HR) counterparts. H...
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Published in | Proceedings / IEEE International Conference on Computer Vision pp. 3086 - 3095 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.10.2019
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Subjects | |
Online Access | Get full text |
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