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EVOW
2009
Springer
13 years 11 months ago
Evolving Approximate Image Filters
Image filtering involves taking a digital image and producing a new image from it. In software packages such as Adobe’s Photoshop, image filters are used to produce artistic ve...
Simon Colton, Pedro Torres
ICIP
2009
IEEE
14 years 5 months ago
Multiframe Image Restoration In The Presence Of Noisy Blur Kernel
We wish to recover an original image u from several blurry-noisy versions fk, called frames. We assume a more severe degradation model, in which the image u has been blurred by a ...
ICIP
2003
IEEE
14 years 6 months ago
Removal of video line jitter using a dynamic programming approach
Analog video digitized from noisy sources can suffer of line registration problems due to bad synchronization pulses. The effect is that the image lines are randomly shiftedwith r...
Louis Laborelli
ICIP
2006
IEEE
14 years 6 months ago
Sparse Image Reconstruction for Partially known Blur Functions
In this paper, we consider the problem of image reconstruction from the noisy blurred version of an original image when the blurring operator is partially known and the original i...
Raviv Raich, Alfred O. Hero
ICIP
2007
IEEE
14 years 6 months ago
Image Stabilization Based on Fusing the Visual Information in Differently Exposed Images
The objective of image stabilization is to prevent or remove the motion blur degradation from images. We introduce a new approach to image stabilization based on combining informa...
Marius Tico, Markku Vehvilainen
ECCV
2002
Springer
1127views Computer Vision» more  ECCV 2002»
14 years 6 months ago
Removing Shadows from Images
Illumination conditions cause problems for many computer vision algorithms. Inparticular, shadows in an image can cause segmentation, tracking, or recognition algorithms to fail. I...
Graham D. Finlayson, Steven D. Hordley, Mark S. Dr...