Multi-Focus Image Fusion Using Energy Valley Optimization Algorithm
When a natural scene is photographed using imaging sensors commonly used today, part of the image is obtained sharply while the other part is obtained blurry. This problem is called limited depth of field. This problem can be solved by fusing the sharper parts of multi-focus images of the same scene...
Saved in:
Main Author: | Harun Akbulut |
---|---|
Format: | Article |
Language: | English |
Published: |
Çanakkale Onsekiz Mart University
2024-09-01
|
Series: | Journal of Advanced Research in Natural and Applied Sciences |
Subjects: | |
Online Access: | https://dergipark.org.tr/en/download/article-file/3982007 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SFDA-MEF: An Unsupervised Spacecraft Feature Deformable Alignment Network for Multi-Exposure Image Fusion
by: Qianwen Xiong, et al.
Published: (2025-01-01) -
CT and MRI image fusion based on variance and pixel significance
by: Boubakeur Latreche
Published: (2023-10-01) -
Advances in colorectal cancer diagnosis using optimal deep feature fusion approach on biomedical images
by: Sultan Refa Alotaibi, et al.
Published: (2025-02-01) -
XTNSR: Xception-based transformer network for single image super resolution
by: Jagrati Talreja, et al.
Published: (2025-01-01) -
Non-linear multi-objective optimization model of production planning based on fuzzy logic and machine learning
by: Zahra Saeidi Mobarakeh, et al.
Published: (2024-09-01)