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» The curvelet transform for image denoising
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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

Source Code
7589views
16 years 5 months ago
MATLAB and Octave Functions for Computer Vision and Image Processing
Great Matlab and Octave function implementation for hot computer vision algorithms such as Feature detection via Phase Congruency, Spatial feature detection, Non-maxima suppression...
P. D. Kovesi
DAS
2010
Springer
15 years 1 months ago
Text extraction from graphical document images using sparse representation
A novel text extraction method from graphical document images is presented in this paper. Graphical document images containing text and graphics components are considered as two-d...
Thai V. Hoang, Salvatore Tabbone
WCE
2007
14 years 10 months ago
X-Ray Image Restoration in the Wavelet Domain
–—Wavelet expansions and wavelet transforms have proven to be very efficient and effective in analyzing a very wide class of signals and phenomena. Wavelet expansion allows a m...
Y. Laib dit leksir, H. Bendjama, A. Allag
106
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Denoising sparse noise via online dictionary learning
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
Anoop Cherian, Suvrit Sra, Nikolaos Papanikolopoul...