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CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 7 months ago
A Comparative Study of Removal Noise from Remote Sensing Image
This paper attempts to undertake the study of three types of noise such as Salt and Pepper (SPN), Random variation Impulse Noise (RVIN), Speckle (SPKN). Different noise densities ...
Salem Saleh Al-amri, Namdeo V. Kalyankar, Santosh ...
DMKD
2004
ACM
127views Data Mining» more  DMKD 2004»
14 years 24 days ago
Discovering spatial patterns accurately with effective noise removal
Cluster analysis is a common approach to pattern discovery in spatial databases. While many clustering techniques have been developed, it is still challenging to discover implicit...
Yu Qian, Kang Zhang
PAMI
2008
181views more  PAMI 2008»
13 years 7 months ago
Automatic Estimation and Removal of Noise from a Single Image
Image denoising algorithms often assume an additive white Gaussian noise (AWGN) process that is independent of the actual RGB values. Such approaches cannot effectively remove colo...
Ce Liu, Richard Szeliski, Sing Bing Kang, C. Lawre...
ICASSP
2011
IEEE
12 years 11 months ago
Joint Bayesian removal of impulse and background noise
We present a method for the removal of noise including nonGaussian impulses from a signal. Impulse noise is removed jointly a homogenous Gaussian noise floor using a Gabor regres...
James Murphy, Simon J. Godsill
ICMCS
2007
IEEE
121views Multimedia» more  ICMCS 2007»
13 years 7 months ago
A New Approach to Impulse Noise Removal for Color Image
This paper presents a new two-stage approach to impulse noise removal for color image. The first step is the impulse detection, in which the so-called Rank-Ordered Absolute Diffe...
Qing Xu 0002, Rui Zhang, Mateu Sbert