Name
Title | ||
|---|---|---|
Image Restoration Based on Robust Error Function and Particle Swarm Optimization-BP Neural Network |
Abstract | ||
|---|---|---|
A new method for image restoration based on robust error function and BP neural network optimized with Particle Swarm Optimization (PSO) is proposed in this paper. In this technique, BP neural network uses a robust error function as its error function, and then the neural network optimized with PSO. This method can minimize an evaluation function established based on an observed image. The proposed method takes into consideration Point Spread Function (PSF) blurring as well as an additive random noise and obtains restoration image with more preserved image details. Experimental results demonstrate that the proposed new method can have a very high quality both in the visual qualitative performance and the quantitative performance than the traditional algorithms. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICNC.2008.140 | ICNC |
Keywords | Field | DocType |
error function,image detail,observed image,robust error function,evaluation function,bp neural network,image restoration,new method,particle swarm optimization-bp neural,obtains restoration image,neural nets,least squares approximation,particle swarm optimization,point spread function,robustness,artificial neural networks,backpropagation,noise,neural network,psnr | Particle swarm optimization,Error function,Mathematical optimization,Computer science,Evaluation function,Robustness (computer science),Artificial intelligence,Image restoration,Point spread function,Artificial neural network,Backpropagation,Machine learning | Conference |
Citations | PageRank | References |
2 | 0.39 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yinxue Zhang | 1 | 19 | 1.35 |
| Zhenhong Jia | 2 | 29 | 15.13 |
| Haijun Jiang | 3 | 960 | 67.37 |
| Zijian Liu | 4 | 65 | 11.33 |