@inproceedings{e5b1439263e34606b41355cff6571cb8,
title = "Multiframe blind deconvolution, super-resolution, and saturation correction via incremental EM",
abstract = "We formulate the multiframe blind deconvolution problem in an incremental expectation maximization (EM) framework. Beyond deconvolution, we show how to use the same framework to address: (i) super-resolution despite noise and unknown blurring; (ii) saturation-correction of overexposed pixels that confound image restoration. The abundance of data allows us to address both of these without using explicit image or blur priors. The end result is a simple but effective algorithm with no hyperparameters. We apply this algorithm to real-world images from astronomy and to super resolution tasks: for both, our algorithm yields increased resolution and deconvolved images simultaneously.",
keywords = "Blind deconvolution, Incremental EM, Multiframe, Saturation, Super-resolution",
author = "Stefan Harmeling and Suvrit Sra and Michael Hirsch and Bernhard Scḧolkopf",
year = "2010",
doi = "10.1109/ICIP.2010.5651650",
language = "English",
isbn = "9781424479948",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "3313--3316",
booktitle = "2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings",
note = "2010 17th IEEE International Conference on Image Processing, ICIP 2010 ; Conference date: 26-09-2010 Through 29-09-2010",
}