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85
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ICPR
2008
IEEE
15 years 10 months ago
An adaptive Monte Carlo approach to nonlinear image denoising
This paper introduces a novel stochastic approach to image denoising using an adaptive Monte Carlo scheme. Random samples are generated from the image field using a spatially-adap...
Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieg...
ICIP
2010
IEEE
14 years 7 months ago
A no-reference image content metric and its application to denoising
A no-reference image metric based on the singular value decomposition of local image gradients is proposed in this paper. This metric provides a quantitative measure of true image...
Xiang Zhu, Peyman Milanfar
78
Voted
ISBI
2007
IEEE
15 years 3 months ago
Patch-Based Nonlocal Denoising for MRI and Ultrasound Images
Image model plays a critical role in recovering diagnosis-relevant information from noisy observation data. Unlike conventional denoising techniques based on local models, a patch...
Xin Li
70
Voted
ENGL
2007
107views more  ENGL 2007»
14 years 9 months ago
Pixel Fusion Based Curvelets and Wavelets Denoise Algorithm
—Curvelets denoise approach has been widely used in many fields for its ability to obtain high quality result images. However artifacts those appear in the result images of curve...
Liyong Ma, Jiachen Ma, Yi Shen
ISBI
2009
IEEE
15 years 4 months ago
A Compressed Sensing Approach for Biological Microscopic Image Processing
In fluorescence microscopy the noise level and the photobleaching are cross-dependent problems since reducing exposure time to reduce photobleaching degrades image quality while ...
Marcio de Moraes Marim, Elsa D. Angelini, Jean-Chr...