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ECCV
2006
Springer
14 years 7 months ago
Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement
Image restoration is a keen problem of low level vision. In this paper, we propose a novel - assumption-free on the noise model - technique based on random walks for image enhancem...
Noura Azzabou, Nikos Paragios, Frederic Guichard
IWDW
2005
Springer
13 years 10 months ago
Robustness Enhancement of Content-Based Watermarks Using Entropy Masking Effect
Image-Adaptive watermarking systems exploit visual models to adapt the watermark to local properties of the host image. This leads to a watermark power enhancement, hence an improv...
Amir Houman Sadr, Shahrokh Ghaemmaghami
WCE
2007
13 years 6 months ago
Image Enhancement Using Particle Swarm Optimization
Abstract—Applications of the Particle Swarm Optimization (PSO) to solve image processing problem with a reference to a new automatic enhancement technique based on real-coded par...
Malik Braik, Alaa F. Sheta, Aladdin Ayesh
JMIV
2006
128views more  JMIV 2006»
13 years 5 months ago
General Adaptive Neighborhood Image Processing:
The so-called General Adaptive Neighborhood Image Processing (GANIP) approach is presented in a two parts paper dealing respectively with its theoretical and practical aspects. The...
Johan Debayle, Jean-Charles Pinoli
ICCV
2007
IEEE
14 years 7 months ago
Adaptive enhancement and noise reduction in very low light-level video
A general methodology for noise reduction and contrast enhancement in very noisy image data with low dynamic range is presented. Video footage recorded in very dim light is especi...
Henrik Malm, Magnus Oskarsson, Eric Warrant, Petri...