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» Blur kernel estimation using the Radon Transform
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CVPR
2011
IEEE
12 years 8 months ago
Blur kernel estimation using the Radon Transform
Camera shake is a common source of degradation in photographs. Restoring blurred pictures is challenging because both the blur kernel and the sharp image are unknown, which makes ...
Taeg Sang Cho, Sylvain Paris, Bill Freeman, Bertho...
CVPR
2008
IEEE
13 years 6 months ago
Motion blur identification from image gradients
Restoration of a degraded image from motion blurring is highly dependent on the estimation of the blurring kernel. Most of the existing motion deblurring techniques model the blur...
Hui Ji, Chaoqiang Liu
ICIP
2006
IEEE
14 years 6 months ago
Low Cost Robust Blur Estimator
A novel local blur estimation method is presented in the paper. Focal blur process is usually modeled as a Gaussian low-pass filtering and then the problem of blur estimation is t...
Hao Hu, Gerard de Haan
CVPR
2008
IEEE
14 years 6 months ago
Image partial blur detection and classification
In this paper, we propose a partially-blurred-image classification and analysis framework for automatically detecting images containing blurred regions and recognizing the blur ty...
Renting Liu, Zhaorong Li, Jiaya Jia
ICDAR
2005
IEEE
13 years 10 months ago
Cursive word skew/slant corrections based on Radon transform
This paper presents two fast and robust algorithms for word skew and slant corrections based on Radon transform. For the skew correction, we maximize a global measure which is deļ...
Jian-xiong Dong, Dominique Ponson, Adam Krzyzak, C...