Neural Network Based Multi-Focus Image Fusion
| Author(s) | : | Riddhi Shukla, Pragnesh Patel |
| Institution | : | Computer Engineering Department, Ipcowala Institute of Engineering & Technology, Dharmaj |
| Published In | : | Vol. 5, Issue 4 — April 2018 |
| Page No. | : | 2385-2390 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
The imaging equipment usually has difficulty in shooting the target object in which all the objects areeffectively in focused. Image fusion plays a vital role in many applications. To overcome it multi-focus image fusiontechnology has emerged. An image is corrupted by noise blurring or limited focal length or due to different sensors andcan have the poor visual quality. Image fusion is used to enhance the quality of a degraded image. Detection of thefocused region is the key issue of the multi-focus image fusion algorithm. The proposed fusion method exploits thecapabilities of artificial neural networks. Moreover, the learning capability of neural networks makes it feasible tocustomize the image fusion process. The experimental results show that the proposed method can perform better than thewavelet transform based method in some situations.
Riddhi Shukla, Pragnesh Patel, “Neural Network Based Multi-Focus Image Fusion”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 4, pp. 2385-2390, April 2018.
