A REVIEW ON AN EFFICIENT MULTI-FOCUS IMAGE FUSION SCHEME BASED ON PCNN

Article Sidebar

Published Mar 3, 2021
Download
pdf
Statistic
Vol. 3 No. 06 (2017): Journalnx

Main Article Content

SHRUTI D. ATHAWALE
ME Student, Department of Electronics & Telecommunication G. H. Raisoni College of Engineering &Management, Amravati, India
SAGAR S. BADNERKAR
Asst. Professor, Department of Electronics & Telecommunication G. H. Raisoni College of Engineering &Management, Amravati, India,

Abstract

This paper presents a study of different techniques of Multi-Focus Image Fusion based on Pulse Coupled Neural Networks. The different ways of fusion of images are discussed in detail along with its respective concerts such as edge, texture, better contrast and many application oriented approaches.

Article Details

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite
SHRUTI D. ATHAWALE, & SAGAR S. BADNERKAR. (2021). A REVIEW ON AN EFFICIENT MULTI-FOCUS IMAGE FUSION SCHEME BASED ON PCNN. JournalNX - A Multidisciplinary Peer Reviewed Journal, 3(06), 169–171. Retrieved from https://repo.journalnx.com/index.php/nx/article/view/2575