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» Locally adaptive multiscale contrast optimization
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TIP
2008
163views more  TIP 2008»
13 years 5 months ago
Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures
We develop a statistical model to describe the spatially varying behavior of local neighborhoods of coefficients in a multiscale image representation. Neighborhoods are modeled as ...
David K. Hammond, Eero P. Simoncelli
DCOSS
2005
Springer
13 years 11 months ago
Design of Adaptive Overlays for Multi-scale Communication in Sensor Networks
In wireless sensor networks, energy and communication bandwidth are precious resources. Traditionally, layering has been used as a design principle for network stacks; hence routin...
Santashil PalChaudhuri, Rajnish Kumar, Richard G. ...
ICASSP
2008
IEEE
14 years 6 days ago
Contextually adaptive signal representation using conditional principal component analysis
The conventional method of generating a basis that is optimally adapted (in MSE) for representation of an ensemble of signals is Principal Component Analysis (PCA). A more ambitio...
Rosa M. Figueras i Ventura, Umesh Rajashekar, Zhou...
APGV
2005
ACM
125views Visualization» more  APGV 2005»
13 years 11 months ago
Designing a tone mapping algorithm for road visibility experiments
In this paper, we propose a tone mapping operator based on a multiscale representation pattern and on thresholds of detection contrast computed for local adaptation luminances. Th...
Justine Grave, Roland Brémond
TIP
2008
213views more  TIP 2008»
13 years 4 months ago
Deblurring Using Regularized Locally Adaptive Kernel Regression
Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for de...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar