A new automatic watermarking algorithm based on Fuzzy Logic and Harris Hawks optimization
This paper presents a new watermarking method to improve the robustness and transparency of extracted and host images. The embedding process is based on decomposing of pyramidal directional filter bank and triangular matrix, while the watermark extraction process is based on Mamdani fuzzy logic. In...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | fas |
Published: |
Islamic Azad University Bushehr Branch
2024-03-01
|
Series: | مهندسی مخابرات جنوب |
Subjects: | |
Online Access: | https://sanad.iau.ir/journal/jce/Article/870038 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1841546069640478720 |
---|---|
author | Mehdi Fallah Kazemi Arash Ahmadpour Nadia Pourmahdi |
author_facet | Mehdi Fallah Kazemi Arash Ahmadpour Nadia Pourmahdi |
author_sort | Mehdi Fallah Kazemi |
collection | DOAJ |
description | This paper presents a new watermarking method to improve the robustness and transparency of extracted and host images. The embedding process is based on decomposing of pyramidal directional filter bank and triangular matrix, while the watermark extraction process is based on Mamdani fuzzy logic. In this design, in order to obtain efficient robustness and transparency, the Harris hawks optimization algorithm is used to find the best value of embedding factor. For this purpose, in the embedding algorithm, pyramid directional filter bank decomposition is utilized and accordingly the approximation sub-bands are divided into 8*8 non-overlapping blocks. Moreover, by decomposing the triangular matrix, which embeds the watermark bits in the matrix element, the use of Mamdani implication and the product inference engine have led to an efficient watermark extraction. The simulation results show that the quality of the watermarked image is equal to 60.6dB. Furethermore, applying the proposed algorithm is strong against attacks. |
format | Article |
id | doaj-art-8e00d97eec844abe8fa5976afd4b4005 |
institution | Kabale University |
issn | 2980-9231 |
language | fas |
publishDate | 2024-03-01 |
publisher | Islamic Azad University Bushehr Branch |
record_format | Article |
series | مهندسی مخابرات جنوب |
spelling | doaj-art-8e00d97eec844abe8fa5976afd4b40052025-01-11T05:11:02ZfasIslamic Azad University Bushehr Branchمهندسی مخابرات جنوب2980-92312024-03-0113516578A new automatic watermarking algorithm based on Fuzzy Logic and Harris Hawks optimizationMehdi Fallah Kazemi0Arash Ahmadpour1Nadia Pourmahdi2Assistant Professor, Department of Electrical Engineering, Lahijan Branch, Islamic Azad University (IAU), Lahijan, IranAssistant Professor, Department of Electrical Engineering, Lahijan Branch, Islamic Azad University (IAU), Lahijan, IranMSc. , Department of Computer Engineering, Lahijan Branch, Islamic Azad University (IAU), Lahijan, IranThis paper presents a new watermarking method to improve the robustness and transparency of extracted and host images. The embedding process is based on decomposing of pyramidal directional filter bank and triangular matrix, while the watermark extraction process is based on Mamdani fuzzy logic. In this design, in order to obtain efficient robustness and transparency, the Harris hawks optimization algorithm is used to find the best value of embedding factor. For this purpose, in the embedding algorithm, pyramid directional filter bank decomposition is utilized and accordingly the approximation sub-bands are divided into 8*8 non-overlapping blocks. Moreover, by decomposing the triangular matrix, which embeds the watermark bits in the matrix element, the use of Mamdani implication and the product inference engine have led to an efficient watermark extraction. The simulation results show that the quality of the watermarked image is equal to 60.6dB. Furethermore, applying the proposed algorithm is strong against attacks.https://sanad.iau.ir/journal/jce/Article/870038hhofuzzy inferencewatermarkingpyramidal directional filter bank decomposition |
spellingShingle | Mehdi Fallah Kazemi Arash Ahmadpour Nadia Pourmahdi A new automatic watermarking algorithm based on Fuzzy Logic and Harris Hawks optimization مهندسی مخابرات جنوب hho fuzzy inference watermarking pyramidal directional filter bank decomposition |
title | A new automatic watermarking algorithm based on Fuzzy Logic and Harris Hawks optimization |
title_full | A new automatic watermarking algorithm based on Fuzzy Logic and Harris Hawks optimization |
title_fullStr | A new automatic watermarking algorithm based on Fuzzy Logic and Harris Hawks optimization |
title_full_unstemmed | A new automatic watermarking algorithm based on Fuzzy Logic and Harris Hawks optimization |
title_short | A new automatic watermarking algorithm based on Fuzzy Logic and Harris Hawks optimization |
title_sort | new automatic watermarking algorithm based on fuzzy logic and harris hawks optimization |
topic | hho fuzzy inference watermarking pyramidal directional filter bank decomposition |
url | https://sanad.iau.ir/journal/jce/Article/870038 |
work_keys_str_mv | AT mehdifallahkazemi anewautomaticwatermarkingalgorithmbasedonfuzzylogicandharrishawksoptimization AT arashahmadpour anewautomaticwatermarkingalgorithmbasedonfuzzylogicandharrishawksoptimization AT nadiapourmahdi anewautomaticwatermarkingalgorithmbasedonfuzzylogicandharrishawksoptimization AT mehdifallahkazemi newautomaticwatermarkingalgorithmbasedonfuzzylogicandharrishawksoptimization AT arashahmadpour newautomaticwatermarkingalgorithmbasedonfuzzylogicandharrishawksoptimization AT nadiapourmahdi newautomaticwatermarkingalgorithmbasedonfuzzylogicandharrishawksoptimization |