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» Contextual Restoration of Severely Degraded Document Images
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ICMCS
1999
IEEE
153views Multimedia» more  ICMCS 1999»
13 years 11 months ago
CamWorks: A Video-Based Tool for Efficient Capture from Paper Source Documents
We describe the design and evaluation of CamWorks, a system that employs a video camera as a means of supporting capture from paper sources during reading and writing. The user ca...
William M. Newman, Christopher R. Dance, Alex S. T...
CVPR
2009
IEEE
1010views Computer Vision» more  CVPR 2009»
15 years 2 months ago
A Family of Contextual Measures of Similarity between Distributions with Application to Image Retrieval
During this talk, I will introduce a novel family of contextual measures of similarity between distributions: the similarity between two distributions q and p is measured in the co...
Florent Perronnin (Xerox Research Centre Europe), ...
ICDAR
2011
IEEE
12 years 7 months ago
Super-Resolved Binarization of Text Based on the FAIR Algorithm
—In this paper, we present a novel approach for super-resolved binarization of document images acquired by low quality devices. The algorithm tries to compute the super resolutio...
Thibault Lelore, Frédéric Bouchara
CVPR
2007
IEEE
14 years 9 months ago
Single Image Motion Deblurring Using Transparency
One of the key problems of restoring a degraded image from motion blur is the estimation of the unknown shiftinvariant linear blur filter. Several algorithms have been proposed ut...
Jiaya Jia
ICASSP
2011
IEEE
12 years 11 months ago
Fast single image fog removal using edge-preserving smoothing
Imaging in poor weather is often severely degraded by scattering due to suspended particles in the atmosphere such as haze and fog. In this paper, we propose a novel fast defoggin...
Jing Yu, Qingmin Liao