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» Bayesian Deblurring with Integrated Noise Estimation
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CVPR
2011
IEEE
14 years 5 months ago
Bayesian Deblurring with Integrated Noise Estimation
Conventional non-blind image deblurring algorithms involve natural image priors and maximum a-posteriori (MAP) estimation. As a consequence of MAP estimation, separate pre-process...
Uwe Schmidt, Kevin Schelten, Stefan Roth
ICICIC
2006
IEEE
15 years 3 months ago
An Edge-Driven Total Variation Approach to Image Deblurring and Denoising
Traditional nonlinear filtering techniques are observed in underutilization of blur identification techniques, and vice versa. To improve blind image restoration, a designed edg...
Hongwei Zheng, Olaf Hellwich
CVPR
2009
IEEE
1626views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Coded Exposure Deblurring: Optimized Codes for PSF Estimation and Invertibility
We consider the problem of single image object motion deblurring from a static camera. It is well known that deblurring of moving objects using a traditional camera is ill-posed, d...
Amit K. Agrawal, Yi Xu
SIAMSC
2010
141views more  SIAMSC 2010»
14 years 8 months ago
An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson
In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-lo...
Johnathan M. Bardsley, John Goldes
ICMLA
2007
14 years 11 months ago
Uncertainty optimization for robust dynamic optical flow estimation
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...