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» An Adaptive Steganographic Method Using Additive Noise
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COMPLIFE
2006
Springer
15 years 8 months ago
Beating the Noise: New Statistical Methods for Detecting Signals in MALDI-TOF Spectra Below Noise Level
Background: The computer-assisted detection of small molecules by mass spectrometry in biological samples provides a snapshot of thousands of peptides, protein fragments and prote...
Tim O. F. Conrad, Alexander Leichtle, Andre Hageh&...
126
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ICIP
2007
IEEE
15 years 11 months ago
Non-Additive Approach for Gradient-Based Edge Detection
In this paper, we propose a new method to perform the first derivative estimation of a discrete intensity distribution. This approach is based on a non-additive aggregation proce...
Florence Jacquey, Kevin Loquin, Frederic Comby, Ol...
ICASSP
2011
IEEE
14 years 8 months ago
Speaker and noise factorisation on the AURORA4 task
For many realistic scenarios, there are multiple factors that affect the clean speech signal. In this work approaches to handling two such factors, speaker and background noise di...
Yongqiang Wang, Mark J. F. Gales
TIFS
2010
149views more  TIFS 2010»
14 years 11 months ago
Detecting Forgery From Static-Scene Video Based on Inconsistency in Noise Level Functions
Recently developed video editing techniques have enabled us to create realistic synthesized videos. Therefore, using video data as evidence in places such as courts of law requires...
Michihiro Kobayashi, Takahiro Okabe, Yoichi Sato
ISBI
2004
IEEE
16 years 5 months ago
A Bayesian Approach to Image Restoration
A method for reducing additive noise in images by explicit analysis of local image statistics is introduced and compared to other noise reduction methods. The proposed method, whi...
Andreas Wrangsjö, Hans Knutsson, Magnus Borga