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» Modeling non-gaussian noise for robust image analysis
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ICDAR
2009
IEEE
14 years 2 months ago
Robust Color Image Enhancement of Digitized Books
We present a spatially variant framework for correcting uneven illumination and color cast, problems commonly associated with digitized books. The core of our method is a color im...
Jian Fan
ICDAR
2003
IEEE
14 years 25 days ago
Wavelet Diffusion for Document Image Denoising
To distinguish image features from high level noises, we propose to exploit the spatial correlations between wavelet coefficients by replacing the thresholding process with a dif...
Lixin Fan, Liying Fan, Chew Lim Tan
IJCV
2006
107views more  IJCV 2006»
13 years 7 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
GFKL
2007
Springer
139views Data Mining» more  GFKL 2007»
14 years 1 months ago
The Noise Component in Model-based Cluster Analysis
The so-called noise-component has been introduced by Banfield and Raftery (1993) to improve the robustness of cluster analysis based on the normal mixture model. The idea is to ad...
Christian Hennig, Pietro Coretto
ECCV
2006
Springer
14 years 9 months ago
An Intensity Similarity Measure in Low-Light Conditions
In low-light conditions, it is known that Poisson noise and quantization noise become dominant sources of noise. While intensity difference is usually measured by Euclidean distanc...
François Alter, Yasuyuki Matsushita, Xiaoou...