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» An Adaptive Steganographic Method Using Additive Noise
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ICPR
2008
IEEE
16 years 6 months ago
Impulse noise removal by spectral clustering and regularization on graphs
In this paper we present a method for impulse noise removal that makes use of spectral clustering and graph regularization. The image is modeled as a graph and local spectral anal...
Olivier Lezoray, Vinh-Thong Ta, Abderrahim Elmoata...
KES
2007
Springer
15 years 11 months ago
Fuzzy Adaptive Particle Filter for Localization of a Mobile Robot
Localization is one of the important topics in robotics and it is essential to execute a mission. Most problems in the class of localization are due to uncertainties in the modelin...
Young-Joong Kim, Chan-Hee Won, Jung-Min Pak, Myo-T...
ISMIR
2005
Springer
191views Music» more  ISMIR 2005»
15 years 10 months ago
Drum Track Transcription of Polyphonic Music Using Noise Subspace Projection
This paper presents a novel drum transcription system for polyphonic music. The use of a band-wise harmonic/noise decomposition allows the suppression of the deterministic part of...
Olivier Gillet, Gaël Richard
SCALESPACE
2001
Springer
15 years 9 months ago
Selection of Optimal Stopping Time for Nonlinear Diffusion Filtering
We develop a novel time-selection strategy for iterative image restoration techniques: the stopping time is chosen so that the correlation of signal and noise in the filtered imag...
Pavel Mrázek
CORR
2010
Springer
143views Education» more  CORR 2010»
15 years 5 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 ...