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» A Bayesian Approach to Image Restoration
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DAGM
2006
Springer
13 years 10 months ago
Introducing Dynamic Prior Knowledge to Partially-Blurred Image Restoration
Abstract. The paper presents an unsupervised method for partiallyblurred image restoration without influencing unblurred regions or objects. Maximum a posteriori estimation of para...
Hongwei Zheng, Olaf Hellwich
ICIP
2002
IEEE
14 years 10 months ago
A curve evolution-based variational approach to simultaneous image restoration and segmentation
In this paper, we introduce a novel approach for simultaneous restoration and segmentation of blurred, noisy images by approaching a variant of the Mumford-Shah functional from a ...
Alan S. Willsky, Andy Tsai, Junmo Kim, Müjdat...
ICDAR
2003
IEEE
14 years 1 months ago
A Multiscale Approach to Restoring Scanned Color Document Images with Show-Through Effects
This paper describes a new approach to restoring scanned color document images where the backside image shows through the paper sheet. A new framework is presented for correcting ...
Hirobumi Nishida, Takeshi Suzuki
ISBI
2004
IEEE
14 years 9 months ago
An Adaptive Window Approach for Poisson Noise Reduction and Structure Preserving in Confocal Microscopy
In domains like confocal microscopy, the imaging process is based on detection of photons. It is established the additive Gaussian noise model is a poor description of the actual ...
Alain Trubuil, Charles Kervrann
ECCV
2006
Springer
14 years 10 months ago
Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Daniel Cremers, Leo Grady