Grayscale Image Enhancement Using Water Cycle Algorithm
Author:
Affiliation:
1. School of Electrical and Computer Engineering, Haramaya Institute of Technology, Haramaya University, Dire Dawa, Ethiopia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10214575.pdf?arnumber=10214575
Reference88 articles.
1. Deep face recognition for dim images
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3. Low-Light Image Enhancement via Progressive-Recursive Network
4. A Survey on Nature-Inspired Optimization Algorithms and Their Application in Image Enhancement Domain
5. Improving Face Recognition Systems Using a New Image Enhancement Technique, Hybrid Features and the Convolutional Neural Network
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1. Hybrid Simulated Annealing‐Evaporation Rate‐Based Water Cycle Algorithm Application for Medical Image Enhancement;Journal of Electrical and Computer Engineering;2024-01
2. Contrast Enhancement-Based Preprocessing Process to Improve Deep Learning Object Task Performance and Results;Applied Sciences;2023-09-27
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