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» Similarity based impulsive noise removal in color images
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EAAI
2006
157views more  EAAI 2006»
13 years 7 months ago
Color reduction and estimation of the number of dominant colors by using a self-growing and self-organized neural gas
A new method for color reduction in a digital image is proposed, which is based on the development of a new neural network classifier and on a new method for Estimation of the Mos...
Antonios Atsalakis, Nikos Papamarkos
TIP
2002
169views more  TIP 2002»
13 years 7 months ago
On the origin of the bilateral filter and ways to improve it
Abstract--Additive noise removal from a given signal is an important problem in signal processing. Among the most appealing aspects of this field are the ability to refer it to a w...
Michael Elad
ICMCS
2006
IEEE
130views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Directional Weighting-Based Demosaicking Algorithm for Noisy CFA Environments
Captured CFA data by image sensors like CCD/or CMOS are often corrupted by noises. To produce high quality images acquired by CCD/CMOS digital cameras, the problem of noise needs ...
Hung-Yi Lo, Tsung-Nan Lin, Chih-Lung Hsu, Cheng-hs...
CVPR
2009
IEEE
15 years 2 months ago
Multiple View Image Denoising
We present a novel multi-view denoising algorithm. Our algorithm takes noisy images taken from different viewpoints as input and groups similar patches in the input images using ...
Hailin Jin, Li Zhang, Shree K. Nayar, Sundeep Vadd...
ICCV
2005
IEEE
14 years 9 months ago
Robust Path-Based Spectral Clustering with Application to Image Segmentation
Spectral clustering and path-based clustering are two recently developed clustering approaches that have delivered impressive results in a number of challenging clustering tasks. ...
Hong Chang, Dit-Yan Yeung