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Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts
[article]
2021
arXiv
pre-print
This presentation addresses the problem of reconstructing a high-resolution image from multiple lower-resolution snapshots captured from slightly different viewpoints in space and time. Key challenges for solving this problem include (i) aligning the input pictures with sub-pixel accuracy, (ii) handling raw (noisy) images for maximal faithfulness to native camera data, and (iii) designing/learning an image prior (regularizer) well suited to the task. We address these three challenges with a
arXiv:2104.06191v2
fatcat:zehpbseaqvanbcelur4pik32wu