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CAIP
2001
Springer
166views Image Analysis» more  CAIP 2001»
13 years 9 months ago
Application of Adaptive Hypergraph Model to Impulsive Noise Detection
In this paper, using hypergraph theory, we introduce an image model called Adaptive Image Neighborhood Hypergraph (AINH). From this model we propose a combinatorial definition of ...
Soufiane Rital, Alain Bretto, Driss Aboutajdine, H...
GBRPR
2005
Springer
13 years 10 months ago
Hypergraph-Based Image Representation
Abstract. An appropriate image representation induces some good image treatment algorithms. Hypergraph theory is a theory of finite combinatorial sets, modeling a lot of problems ...
Alain Bretto, Luc Gillibert
TIFS
2010
149views more  TIFS 2010»
12 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
ICIP
2008
IEEE
14 years 6 months ago
Robust brain activation detection in functional MRI
Functional Magnetic Resonance Imaging (MRI) is today one of the most important non-invasive tools to study the brain from a functional point of view. The blood-oxygenation-level-d...
David M. Afonso, João M. Sanches, Martin H....
PERCOM
2006
ACM
14 years 4 months ago
Adaptive Medical Feature Extraction for Resource Constrained Distributed Embedded Systems
Tiny embedded systems have not been an ideal outfit for high performance computing due to their constrained resources. Limitations in processing power, battery life, communication ...
Roozbeh Jafari, Hyduke Noshadi, Majid Sarrafzadeh,...