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ECCV
2006
Springer
15 years 22 days 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
TIP
2008
181views more  TIP 2008»
13 years 10 months ago
Sparse Representation for Color Image Restoration
Abstract--Sparse representations of signals have drawn considerable interest in recent years. The assumption that natural signals, such as images, admit a sparse decomposition over...
Julien Mairal, Michael Elad, Guillermo Sapiro
ICIP
2010
IEEE
13 years 8 months ago
Enhancing low light images using near infrared flash images
In low light environment, photographs taken with a high ISO setting suffer from significant noise. In this paper, we propose to use a near infrared (NIR) flash image, instead of a...
Shaojie Zhuo, Xiaopeng Zhang, Xiaoping Miao, Teren...
IH
1999
Springer
14 years 3 months ago
A Stochastic Approach to Content Adaptive Digital Image Watermarking
This paper presents a new stochastic approach which can be applied with di erent watermark techniques. The approach is based on the computation of a Noise Visibility Function NVF...
Sviatoslav Voloshynovskiy, Alexander Herrigel, Naz...
SIAMSC
2010
141views more  SIAMSC 2010»
13 years 9 months ago
An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson
In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-lo...
Johnathan M. Bardsley, John Goldes