Hybrid Noise Reduction Filter Using the Gaining–Sharing Knowledge-Based Optimization and the Whale Optimization Algorithms

Noise reduction is one of the main challenges for researchers. Classical image de-noising methods reduce the image noise but sometimes lose image quality and information, such as blurring the edges of the image. To solve this challenge, this work proposes two optimal filters based on a generalized C...

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Vydané v:	SN computer science Ročník 5; číslo 4; s. 417
Hlavní autori:	Nabahat, Mehrdad, Khiyabani, Farzin Modarres, Navmipour, Nima Jafari
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Singapore Springer Nature Singapore 09.04.2024 Springer Nature B.V
Predmet:	Algorithms Blurring Computer Imaging Computer Science Computer Systems Organization and Communication Networks Data Structures and Information Theory Design Domains Heuristic methods Image filters Image quality Information Systems and Communication Service Methods Neighborhoods Noise Noise reduction Normal distribution Original Research Parameters Particle swarm optimization Pattern Recognition and Graphics Signal to noise ratio Software Software Engineering/Programming and Operating Systems Ultrasonic imaging Vision Wavelet transforms Image noise Bilateral filter Particle swarm optimization algorithm Image de-noising Whale optimization algorithm Gaining sharing knowledge-based optimization algorithm Generalized Cauchy filter
ISSN:	2661-8907, 2662-995X, 2661-8907
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