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Image restoration

Image Restoration is the operation of taking a corrupt/noisy image and estimating the clean, original image. Corruption may come in many forms such… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Deep Learning is a recent and important addition to the computational toolbox available for image reconstruction in fluorescence… Expand
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Highly Cited
2017
Highly Cited
2017
Model-based optimization methods and discriminative learning methods have been the two dominant strategies for solving various… Expand
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Highly Cited
2011
Highly Cited
2011
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications… Expand
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Highly Cited
2009
Highly Cited
2009
We propose in this paper to unify two different approaches to image restoration: On the one hand, learning a basis set… Expand
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Highly Cited
2009
Highly Cited
2009
One source of difficulties when processing outdoor images is the presence of haze, fog or smoke which fades the colors and… Expand
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Highly Cited
2006
Highly Cited
2006
We study a functional with variable exponent, $1\leq p(x)\leq 2$, which provides a model for image denoising, enhancement, and… Expand
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Highly Cited
2005
Highly Cited
2005
We introduce a new iterative regularization procedure for inverse problems based on the use of Bregman distances, with particular… Expand
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Highly Cited
1999
Highly Cited
1999
We present a new method for solving total variation (TV) minimization problems in image restoration. The main idea is to remove… Expand
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Highly Cited
1994
Highly Cited
1994
A new total variation based approach was developed by Rudin, Osher and Fatemi (see Physica D., vol.60, p.259, 1992) to overcome… Expand
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Highly Cited
1972
Highly Cited
1972
An iterative method of restoring degraded images was developed by treating images, point spread functions, and degraded images as… Expand
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