Neural Network Based Multi-Focus Image Fusion

Abstract

The imaging equipment usually has difficulty in shooting the target object in which all the objects are
effectively in focused. Image fusion plays a vital role in many applications. To overcome it multi-focus image fusion
technology has emerged. An image is corrupted by noise blurring or limited focal length or due to different sensors and
can have the poor visual quality. Image fusion is used to enhance the quality of a degraded image. Detection of the
focused region is the key issue of the multi-focus image fusion algorithm. The proposed fusion method exploits the
capabilities of artificial neural networks. Moreover, the learning capability of neural networks makes it feasible to
customize the image fusion process. The experimental results show that the proposed method can perform better than the
wavelet transform based method in some situations.