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» Non-parametric image super-resolution using multiple images
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ICPR
2008
IEEE
15 years 6 months ago
Using collaborative learning for image contrast enhancement
In this paper we propose a novel image contrast enhancement method using collaborative learning. Block-based histogram equalization methods such as contrast limited adaptive histo...
Yuchou Chang, Dah-Jye Lee, James K. Archibald, Yi ...
ISBI
2007
IEEE
15 years 6 months ago
Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours
This paper focuses on the detection and segmentation of multiple sclerosis (MS) lesions in magnetic resonance images. The proposed method performs healthy tissue segmentation usin...
Oren Freifeld, Hayit Greenspan, Jacob Goldberger
CVPR
2003
IEEE
16 years 1 months ago
Man-Made Structure Detection in Natural Images using a Causal Multiscale Random Field
This paper presents a generative model based approach to man-made structure detection in 2D natural images. The proposed approach uses a causal multiscale random field suggested i...
Sanjiv Kumar, Martial Hebert
ICIP
2009
IEEE
15 years 10 months ago
 Multi-modal Image Registration using Fuzzy Kernel Regression
This paper presents a study aimed to the realization of a novel multiresolution registration framework. The transformation function is computed iteratively as a composition of lo...
R. Gallea, E. Ardizzone, R. Pirrone, O. Gambino
WSCG
2004
217views more  WSCG 2004»
15 years 1 months ago
Blending Textured Images Using a Non-parametric Multiscale MRF Method
In this paper we describe a new method for improving the representation of textures in blends of multiple images based on a Markov Random Field (MRF) algorithm. We show that direc...
Bernard Tiddeman