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Super-Resolution Using Unsupervised Deep Internal Network (No. T4-1850)

Most super-resolution and image enhancement methods rely on large, paired training datasets and predefined distortion models, limiting their effectiveness on real-world images acquired under unknown, variable, or suboptimal conditions. Enhances low-resolution images acquired under... Read more
Full Professor Michal Irani

Michal Irani

Faculty of Mathematics and Computer Science

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