Sciweavers

25 search results - page 2 / 5
» Locally adaptive multiscale contrast optimization
Sort
View
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 10 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
13 years 11 months 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 3 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