Speckle Noise Suppression in Digital Images Utilizing Deep Refinement Network

Speckle Noise Suppression in Digital Images Utilizing Deep Refinement Network

This paper proposes a deep learning model for speckle noise suppression in digital images. The model consists of two interconnected networks: the first network focuses on the initial suppression of speckle noise. The second network refines these features, capturing more complex patterns, and preser...

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Bibliographic Details
Main Authors: Mohamed AbdelNasser, Ehab Alaa Saleh, Mostafa I. Soliman
Format: Article
Language:English
Published: Brno University of Technology 2024-06-01
Series:Mendel
Subjects:
Speckle Noise
Image Filtering
Image Despecking
Denoising
Image Enhancement
Deep Learning
Online Access:https://mendel-journal.org/index.php/mendel/article/view/301

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