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PSIVT
2009
Springer
184views Multimedia» more  PSIVT 2009»
14 years 2 months ago
Detecting Video Forgeries Based on Noise Characteristics
The recent development of video editing techniques enables us to create realistic synthesized videos. Therefore using video data as evidence in places such as a court of law requir...
Michihiro Kobayashi, Takahiro Okabe, Yoichi Sato
ICASSP
2011
IEEE
12 years 11 months ago
Multiantenna detection under noise uncertainty and primary user's spatial structure
Spectrum sensing is a challenging key component of the Cognitive Radio paradigm, since primary signals must be detected in the face of noise uncertainty and at signal-to-noise rat...
David Ramírez, Gonzalo Vazquez-Vilar, Rober...
TIFS
2010
149views more  TIFS 2010»
13 years 2 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
ICPR
2008
IEEE
14 years 8 months ago
Detection of digital processing of images through a realistic model of CCD noise
In this paper, we propose a method for detecting digital processing of video such as compositing. Our method is based on a realistic model of charge coupled device (CCD) sensor no...
Jean-Baptiste Maillard, Daniel Lévesque, Fr...
ICIP
2003
IEEE
14 years 25 days ago
Effective detection and elimination of impulsive noise with a minimal image smoothing
Impulsive noise filtering is an important problem of image processing. The problem of noise elimination in an image has a companion problem, the problem of maximal preservation of...
Igor N. Aizenberg, Jaakko Astola, Constantine Buta...