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IJCV
2006
107views more  IJCV 2006»
13 years 8 months ago
Image Deblurring in the Presence of Impulsive Noise
Consider the problem of image deblurring in the presence of impulsive noise. Standard image deconvolution methods rely on the Gaussian noise model and do not perform well with imp...
Leah Bar, Nahum Kiryati, Nir A. Sochen
ICIP
2001
IEEE
14 years 10 months ago
DCT quantization noise in compressed images
In lossy image compression schemes utilizing the discrete cosine transform (DCT), quantization of the DCT coefficients introduces error in the image representation and a loss of s...
Mark A. Robertson, Robert L. Stevenson
CAIP
2001
Springer
166views Image Analysis» more  CAIP 2001»
14 years 1 months ago
Application of Adaptive Hypergraph Model to Impulsive Noise Detection
In this paper, using hypergraph theory, we introduce an image model called Adaptive Image Neighborhood Hypergraph (AINH). From this model we propose a combinatorial definition of ...
Soufiane Rital, Alain Bretto, Driss Aboutajdine, H...
ACISICIS
2007
IEEE
14 years 2 months ago
A Modified K-means Algorithm for Noise Reduction in Optical Motion Capture Data
This paper presents a modified K-means algorithm that can be used for removing noise in multicolor motion capture image sequences. These images have been produced using the Illumi...
Jan Carlo Barca, Grace W. Rumantir
EWCBR
2004
Springer
14 years 1 months ago
An Analysis of Case-Base Editing in a Spam Filtering System
Because of the volume of spam email and its evolving nature, any deployed Machine Learning-based spam filtering system will need to have procedures for case-base maintenance. Key t...
Sarah Jane Delany, Padraig Cunningham