Name
Abstract | ||
|---|---|---|
The relations between Total Variational (TV) image restoration model and Hopfield neural network are deduced by using energy function. Then a novel algorithm realizing TV image restoration using Hopfield neural network is given. Because of the advantages of neural network techniques such as the abilities of parallel computing and error-tolerance, it can improve the quality of restored image efficiently. Experimental result shows that the performance of the proposed numerical method is perfect. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11427445_118 | ISNN (2) |
Keywords | Field | DocType |
hopfield neural network,energy function,total variational,tv image restoration,neural network technique,image restoration model,total variational model,parallel computing,proposed numerical method,novel algorithm,image restoration,numerical method,parallel computer,neural network,total variation | Pattern recognition,Parallel algorithm,Computer science,Image quality,Algorithm,Model-based reasoning,Artificial intelligence,Image restoration,Point spread function,Artificial neural network,Numerical analysis,Hopfield network | Conference |
Volume | ISSN | ISBN |
3497 | 0302-9743 | 3-540-25913-9 |
Citations | PageRank | References |
5 | 0.58 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongying Zhang | 1 | 19 | 3.06 |
| Yadong Wu | 2 | 43 | 8.05 |
| Qicong Peng | 3 | 43 | 7.07 |