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GREC
2005
Springer
14 years 3 months ago
Adaptive Noise Reduction for Engineering Drawings Based on Primitives and Noise Assessment
In this paper, a novel, adaptive noise reduction method for engineering drawings is proposed based on assessment of both primitives and noise. Unlike the current approaches, our m...
Jing Zhang, Wan Zhang, Liu Wenyin
SCIA
2009
Springer
140views Image Analysis» more  SCIA 2009»
14 years 4 months ago
Fast Prototype Based Noise Reduction
This paper introduces a novel method for noise reduction in medical images based on concepts of the Non-Local Means algorithm. The main objective has been to develop a method that ...
Kajsa Tibell, Hagen Spies, Magnus Borga
ICASSP
2009
IEEE
14 years 4 months ago
On the use of Bayesian modeling for predicting noise reduction performance
In speech enhancement applications, a validated metric of noise reduction performance is vital in the relative ranking of noise reduction algorithms and in enhancing the performan...
Nazanin Pourmand, David Suelzle, Vijay Parsa, Yi H...
ICASSP
2009
IEEE
14 years 4 months ago
On a tradeoff between dereverberation and noise reduction using the MVDR beamformer
The minimum variance distortionless response (MVDR) beamformer can be used for both speech dereverberation and noise reduction. In this paper we analyse the tradeoff between the a...
Emanuel A. P. Habets, Jacob Benesty, Israel Cohen,...
ICCV
2007
IEEE
14 years 11 months ago
Adaptive enhancement and noise reduction in very low light-level video
A general methodology for noise reduction and contrast enhancement in very noisy image data with low dynamic range is presented. Video footage recorded in very dim light is especi...
Henrik Malm, Magnus Oskarsson, Eric Warrant, Petri...
CVPR
2007
IEEE
14 years 11 months ago
A Probabilistic Intensity Similarity Measure based on Noise Distributions
We derive a probabilistic similarity measure between two observed image intensities that is based on the noise properties of the camera. In many vision algorithms, the effect of c...
Yasuyuki Matsushita, Stephen Lin