Quality assured and optimized image watermarking using artificial bee colony-Reference-Cited by-同舟云学术

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Quality assured and optimized image watermarking using artificial bee colony

Published:2016-12-28 Issue:1 Volume:9 Page:274-286
ISSN:0975-6809
Container-title:International Journal of System Assurance Engineering and Management
language:en
Short-container-title:Int J Syst Assur Eng Manag

Author:

Ansari Irshad Ahmad,Pant Millie

Funder

Ministry of Human Resource Development

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Link

http://link.springer.com/article/10.1007/s13198-016-0568-2/fulltext.html

Reference30 articles.

1. Akay B, Karaboga D (2015) A survey on the applications of artificial bee colony in signal, image, and video processing. Signal Image Video Process 9(4):967–990

2. Ali M, Ahn CW (2014) An optimized watermarking technique based on self-adaptive DE in DWT–SVD transform domain. Signal Process 94:545–556

3. Ali Musrrat, Ahn Chang Wook (2015) Optimized gray-scale image watermarking using DWT-SVD and Firefly Algorithm. Expert Syst Appl 42(5):2392–2394

4. Ansari IA, Pant M (2015) SVD watermarking: particle swarm optimization of scaling factors to increase the quality of watermark, In: Proceedings of fourth international conference on soft computing for problem solving. Springer, pp 205–214

5. Ansari IA, Pant M, Ahn CW (2016) Artificial bee colony optimized robust-reversible image watermarking. Multimed Tools Appl. doi: 10.1007/s11042-016-3680-z

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1. An optimized watermarking scheme based on genetic algorithm and elliptic curve;Swarm and Evolutionary Computation;2024-12

2. A comprehensive review on optimization-based image watermarking techniques for copyright protection;Expert Systems with Applications;2024-05

3. Color Watermark Extraction Using Deep Neural Network in IWT Domain with PCA-Based Statistical Feature Reduction;SN Computer Science;2023-08-31

4. Image data hiding schemes based on metaheuristic optimization: a review;Artificial Intelligence Review;2023-06-18

5. Performance Analysis of Nature Inspired Optimization Based Watermarking Schemes;Lecture Notes in Electrical Engineering;2023

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