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ECCV
2006
Springer
15 years 11 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
TIP
2008
181views more  TIP 2008»
14 years 9 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
14 years 7 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
15 years 2 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»
14 years 8 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