Related Experiment Video
Updated: Mar 16, 2026

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
Published on: June 2, 2010
Second-order TGV model for Poisson noise image restoration
Hou-Biao Li1, Jun-Yan Wang1, Hong-Xia Dou1
1School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, 611731 People's Republic of China.
Abstract:
Restoring Poissonian noise images have drawn a lot of attention in recent years. There are many regularization methods to solve this problem and one of the most famous methods is the total variation model. In this paper, by adding a quadratic regularization on TGV regularization part, a new image restoration model is proposed based on second-order total generalized variation regularization. Then the split Bregman iteration algorithm was used to solve this new model. The experimental results show that the proposed model and algorithm can deal with Poisson image restoration problem well. What's more, the restoration model performance is significantly improved both in visual effect and objective evaluation indexes.
Related Concept Videos
Poisson's And Laplace's Equation
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
On...
Poisson Probability Distribution
The...
Second Order systems II
Residuals and Least-Squares Property
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
Poisson's Ratio

