Zagazig University Digital Repository
Home
Thesis & Publications
All Contents
Publications
Thesis
Graduation Projects
Research Area
Research Area Reports
Search by Research Area
Universities Thesis
ACADEMIC Links
ACADEMIC RESEARCH
Zagazig University Authors
Africa Research Statistics
Google Scholar
Research Gate
Researcher ID
CrossRef
Digital image watermarking using deep learning: A survey
Faculty
Computer Science
Year:
2024
Type of Publication:
ZU Hosted
Pages:
Authors:
Osama Mohamed Abdelsalam Ahmed Elkomy
Staff Zu Site
Abstract In Staff Site
Journal:
Computer Science Review Elsevier
Volume:
Keywords :
Digital image watermarking using deep learning:
Abstract:
Lately, a lot of attention has been paid to securing the ownership rights of digital images. The expanding usage of the Internet causes several problems, including data piracy and data tampering. Image watermarking is a typical method of protecting an image's copyright. Robust watermarking for digital images is a process of embedding watermarks on the cover image and extracting them correctly under different attacks. The embedded watermark might be either visible or invisible. Deep learning extracts image features using neural networks, which are highly effective in feature extraction. Watermarking techniques that utilize deep learning have gained a lot of interest due to their remarkable ability to extract features. This article offers an overview of digital image watermarking and deep learning. This article will discuss several research articles on digital image watermarking in deep-learning environments.
Author Related Publications
Osama Mohamed Abdelsalam Ahmed Elkomy, "MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography Scans", IEEE, 2021
More
Osama Mohamed Abdelsalam Ahmed Elkomy, "Two-Stage Deep Learning Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scans.", ELSEVIER, 2021
More
Osama Mohamed Abdelsalam Ahmed Elkomy, "Efficient model for emergency departments: Real case study", Computers, Materials and ContinuaComputers, Materials and Continua, 2022
More
Osama Mohamed Abdelsalam Ahmed Elkomy, "Recognition of phonetic Arabic figures via wavelet based Mel Frequency Cepstrum using HMMs", HBRC Journal, 2014
More
Osama Mohamed Abdelsalam Ahmed Elkomy, "Multi-Objective Task Scheduling Approach for Fog Computing.", IEEE Access, 2021
More
Department Related Publications
Osama Mohamed Abdelsalam Ahmed Elkomy, "MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography Scans", IEEE, 2021
More
Osama Mohamed Abdelsalam Ahmed Elkomy, "Two-Stage Deep Learning Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scans.", ELSEVIER, 2021
More
Osama Mohamed Abdelsalam Ahmed Elkomy, "Efficient model for emergency departments: Real case study", Computers, Materials and ContinuaComputers, Materials and Continua, 2022
More
Ehab Roshdy Mohamed, "SEMANTIC REPRESENTATION OF MUSIC DATABASE USING NEW ONTOLOGY-BASED SYSTEM", Journal of Theoretical and Applied Information Technology, 2020
More
Khalied Mohamed Hosny, "SEMANTIC REPRESENTATION OF MUSIC DATABASE USING NEW ONTOLOGY-BASED SYSTEM", Journal of Theoretical and Applied Information Technology, 2020
More
جامعة المنصورة
جامعة الاسكندرية
جامعة القاهرة
جامعة سوهاج
جامعة الفيوم
جامعة بنها
جامعة دمياط
جامعة بورسعيد
جامعة حلوان
جامعة السويس
شراقوة
جامعة المنيا
جامعة دمنهور
جامعة المنوفية
جامعة أسوان
جامعة جنوب الوادى
جامعة قناة السويس
جامعة عين شمس
جامعة أسيوط
جامعة كفر الشيخ
جامعة السادات
جامعة طنطا
جامعة بنى سويف