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» A Markov Random Field Model for Medical Image Denoising
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ICIP
2001
IEEE
16 years 7 months ago
Wavelet shrinkage with correlated wavelet coefficients
This paper investigates the statistical characterizationof multiscale wavelet coefficients corresponding to random signals and images. Virtually all approaches to wavelet shrinkag...
Zohreh Azimifar, Paul W. Fieguth, Ed Jernigan
ICCV
2009
IEEE
16 years 11 months ago
Higher-Order Gradient Descent by Fusion-Move Graph Cut
Markov Random Field is now ubiquitous in many formulations of various vision problems. Recently, optimization of higher-order potentials became practical using higherorder graph...
Hiroshi Ishikawa
ICDAR
2011
IEEE
14 years 5 months ago
A Novel Italic Detection and Rectification Method for Chinese Advertising Images
—The italic detection and slant rectification is a key step of optical character recognition (OCR). In this paper, a novel method is proposed to detect and rectify italic charact...
Jie Liu, Heping Li, Shuwu Zhang, Wei Liang
PAMI
2010
417views more  PAMI 2010»
15 years 4 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
DAGM
2011
Springer
14 years 6 months ago
Putting MAP Back on the Map
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
Patrick Pletscher, Sebastian Nowozin, Pushmeet Koh...