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» Image processing and data analysis: The multiscale approach
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ISBI
2009
IEEE
15 years 4 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 2 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
15 years 11 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»
14 years 10 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
15 years 11 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