The multifocus images fusion based on a generative gradient map

Ismail, . and Kamarul Hawari, Ghazali (2020) The multifocus images fusion based on a generative gradient map. In: Lecture Notes in Electrical Engineering; 5th International Conference on Electrical, Control and Computer Engineering, InECCE 2019 , 29 July 2019 , Kuantan. 401 -413., 632 (238739). ISSN 1876-1100 ISBN 978-981152316-8

[img]
Preview
Pdf
The multifocus images fusion based on a generative gradient map.pdf

Download (141kB) | Preview
[img] Pdf
The Multi focus Images Fusion Based_FULL.pdf
Restricted to Repository staff only

Download (815kB) | Request a copy

Abstract

The limitation of camera lens is inability to make focus region for whole scene in one shot image. The camera creates one focus object for one image. It is needed several images to get many focus objects of the scene. It makes difficult to read many focus objects from several images. Multifocus image fusion is a process of combining many focus objects from several images into one image. This operation gives easier way to read focus information from many images clearer. It commonly needed in medical examination, robotics and bioinformatics fields. The clearness information enables machine, computer and human understand the image better and prevents any mistake. In an image, the clear object is only located in focus region. In order to generate all objects in focus region, the multi focus images will be fused into fused image. The methods generally use complicated mathematic equation and hard algorithm. In addition to handle the problem, we design a simple way and have accurate output. Our method is the multifocus image fusion based on generative gradient map. By generative gradient map, it quickly determines the initial prediction of focus region precisely. The Generative gradient map is the external information, generated from gradient of blurred random number image. This procedure substitutes complicated mathematical equations or hard algorithm sequence implementation. Finally, our algorithm able to produces a fused image with high quality. The assessment of our method is according to Mutual Information and Structure Similarity parameter.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Generative gradient map; Multifocus image fusion; Simple method
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Institute of Postgraduate Studies
Faculty of Electrical and Electronic Engineering Technology
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 06 Jun 2023 07:46
Last Modified: 06 Jun 2023 07:46
URI: http://umpir.ump.edu.my/id/eprint/37773
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item