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» A New Method of Image Denoise Using Contourlet Transform
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NIPS
2008
14 years 11 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung
VIS
2004
IEEE
140views Visualization» more  VIS 2004»
15 years 10 months ago
Vector Wavelet Thresholding for Vector Field Denoising
Noise reduction is an important preprocessing step for many visualization techniques that make use of feature extraction. We propose a method for denoising 2-D vector fields that ...
Michel A. Westenberg, Thomas Ertl
ICIP
2005
IEEE
15 years 11 months ago
Image fusion using a new framework for complex wavelet transforms
Image fusion is the process of extracting meaningful visual information from two or more images and combinining them to form one fused image. Image fusion is important within many...
Paul R. Hill, David R. Bull, Cedric Nishan Canagar...
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...
TIP
2002
133views more  TIP 2002»
14 years 9 months ago
A joint inter- and intrascale statistical model for Bayesian wavelet based image denoising
Abstract--This paper presents a new wavelet-based image denoising method, which extends a recently emerged "geometrical" Bayesian framework. The new method combines three...
Aleksandra Pizurica, Wilfried Philips, Ignace Lema...