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» Image processing and data analysis: The multiscale approach
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ISBI
2009
IEEE
15 years 11 months ago
Fast Haar-Wavelet Denoising of Multidimensional Fluorescence Microscopy Data
We propose a novel denoising algorithm to reduce the Poisson noise that is typically dominant in fluorescence microscopy data. To process large datasets at a low computational co...
Florian Luisier, Cédric Vonesch, Thierry Bl...
ICCV
2009
IEEE
16 years 10 months ago
Bayesian selection of scaling laws for motion modeling in images
Based on scaling laws describing the statistical structure of turbulent motion across scales, we propose a multiscale and non-parametric regularizer for optic-flow estimation. R...
Patrick H´eas, Etienne M´emin, Dominique Heitz, ...
ICIP
2004
IEEE
16 years 6 months ago
Fast motion estimation and motion segmentation using multi-scale approach
The goal of this work is to find a fast method for motion estimation and motion segmentation. We chose to decompose the motion on a basis functions. That allows us to compute the ...
Cédric Demonceaux, Djemâa Kachi-Akkou...
SPIESR
1997
97views Database» more  SPIESR 1997»
15 years 6 months ago
Multiscale Branch-and-Bound Image Database Search
This paper presents a formal framework for designing search algorithms which can identify target images by the spatial distribution of color, edge and texture attributes. The fram...
Jau-Yuen Chen, Charles A. Bouman, Jan P. Allebach
ICIP
2004
IEEE
16 years 6 months ago
A fast and adaptive method for image contrast enhancement
In this paper we describe a fast approach for image contrast enhancement, based on localized contrast manipulation. Our approach is not only fast and easy to implement, but also h...
Zeyun Yu, Chandrajit L. Bajaj