<--- Back to Details
First PageDocument Content
Mathematics / Statistics / Mathematical analysis / Differential forms / Digital television / Image compression / Noise / Peak signal-to-noise ratio / Sheaf / Gamma distribution / Closed and exact differential forms / Variational Bayesian methods
Date: 2010-09-02 04:27:14
Mathematics
Statistics
Mathematical analysis
Differential forms
Digital television
Image compression
Noise
Peak signal-to-noise ratio
Sheaf
Gamma distribution
Closed and exact differential forms
Variational Bayesian methods

Image Prior Combination In Super-Resolution Image Reconstruction

Add to Reading List

Source URL: decsai.ugr.es

Download Document from Source Website

File Size: 374,17 KB

Share Document on Facebook

Similar Documents

GRADUATE SEMINAR Olusesan Ogunsanya STATISTICAL TEST FOR THE GENERALIZED GAMMA DISTRIBUTION MSc Student supervised by Andrei Volodin Wednesday, June 13th

DocID: 1xVeT - View Document

Eurographics Workshop on Natural PhenomenaD. Ebert, S. Mérillou (Editors) Fast Fluid Simulation Using Residual Distribution Schemes Jason Sewall† , Paul Mecklenburg, Sorin Mitran, and Ming Lin University of No

DocID: 1sYDV - View Document

Statistics / Mathematical analysis / Probability / Probability distributions / Infinitely divisible probability distributions / Poisson processes / Clock signal / Clock skew / Weibull distribution / Exponential distribution / Network Time Protocol / Gamma distribution

Ghostscript wrapper for Y:ldn.pdf

DocID: 1rueg - View Document

Statistics / Mathematical analysis / Probability / Probability distributions / Infinitely divisible probability distributions / Poisson processes / Gamma distribution / Poisson distribution

Staying at Zero with Ane Processes: A New Dynamic Term Structure Model Monfort Renne ∗

DocID: 1rsq9 - View Document

Statistics / Mathematical analysis / Probability distributions / Probability / Gamma distribution / Bias of an estimator / Relationships among probability distributions

James&#x2013;Stein type estimators of variances

DocID: 1rjIr - View Document