Implementation of Adaptive Unsharp Masking as a Pre-filtering Method for Watermark Detection and Extraction

Digital watermarking has been one of the focal points of research interests in order to provide multimedia security in the last decade. Watermark data, belonging to the user, are embedded on an original work such as text, audio, image, and video and thus, product ownership can be proved. Various rob...

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Main Authors: Onur Jane, Gokhan Hakki Ilk
Format: Article
Language:English
Published: VSB-Technical University of Ostrava 2016-01-01
Series:Advances in Electrical and Electronic Engineering
Subjects:
Online Access:http://advances.utc.sk/index.php/AEEE/article/view/1827
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author Onur Jane
Gokhan Hakki Ilk
author_facet Onur Jane
Gokhan Hakki Ilk
author_sort Onur Jane
collection DOAJ
description Digital watermarking has been one of the focal points of research interests in order to provide multimedia security in the last decade. Watermark data, belonging to the user, are embedded on an original work such as text, audio, image, and video and thus, product ownership can be proved. Various robust watermarking algorithms have been developed in order to extract/detect the watermark against such attacks. Although watermarking algorithms in the transform domain differ from others by different combinations of transform techniques, it is difficult to decide on an algorithm for a specific application. Therefore, instead of developing a new watermarking algorithm with different combinations of transform techniques, we propose a novel and effective watermark extraction and detection method by pre-filtering, namely Adaptive Unsharp Masking (AUM). In spite of the fact that Unsharp Masking (UM) based pre-filtering is used for watermark extraction/detection in the literature by causing the details of the watermarked image become more manifest, effectiveness of UM may decrease in some cases of attacks. In this study, AUM has been proposed for pre-filtering as a solution to the disadvantages of UM. Experimental results show that AUM performs better up to 11\% in objective quality metrics than that of the results when pre-filtering is not used. Moreover; AUM proposed for pre-filtering in the transform domain image watermarking is as effective as that of used in image enhancement and can be applied in an algorithm-independent way for pre-filtering in transform domain image watermarking.
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spelling doaj.art-fbaddda0016241f4ae08a3718bca558a2023-05-14T20:50:10ZengVSB-Technical University of OstravaAdvances in Electrical and Electronic Engineering1336-13761804-31192016-01-0114442943610.15598/aeee.v14i4.1827841Implementation of Adaptive Unsharp Masking as a Pre-filtering Method for Watermark Detection and ExtractionOnur Jane0Gokhan Hakki Ilk1TAI-Turkish Aerospace Industries, Inc.Ankara UniversityDigital watermarking has been one of the focal points of research interests in order to provide multimedia security in the last decade. Watermark data, belonging to the user, are embedded on an original work such as text, audio, image, and video and thus, product ownership can be proved. Various robust watermarking algorithms have been developed in order to extract/detect the watermark against such attacks. Although watermarking algorithms in the transform domain differ from others by different combinations of transform techniques, it is difficult to decide on an algorithm for a specific application. Therefore, instead of developing a new watermarking algorithm with different combinations of transform techniques, we propose a novel and effective watermark extraction and detection method by pre-filtering, namely Adaptive Unsharp Masking (AUM). In spite of the fact that Unsharp Masking (UM) based pre-filtering is used for watermark extraction/detection in the literature by causing the details of the watermarked image become more manifest, effectiveness of UM may decrease in some cases of attacks. In this study, AUM has been proposed for pre-filtering as a solution to the disadvantages of UM. Experimental results show that AUM performs better up to 11\% in objective quality metrics than that of the results when pre-filtering is not used. Moreover; AUM proposed for pre-filtering in the transform domain image watermarking is as effective as that of used in image enhancement and can be applied in an algorithm-independent way for pre-filtering in transform domain image watermarking.http://advances.utc.sk/index.php/AEEE/article/view/1827adaptive unsharp maskingdigital watermarkingpre-filteringtransform domain watermarking.
spellingShingle Onur Jane
Gokhan Hakki Ilk
Implementation of Adaptive Unsharp Masking as a Pre-filtering Method for Watermark Detection and Extraction
Advances in Electrical and Electronic Engineering
adaptive unsharp masking
digital watermarking
pre-filtering
transform domain watermarking.
title Implementation of Adaptive Unsharp Masking as a Pre-filtering Method for Watermark Detection and Extraction
title_full Implementation of Adaptive Unsharp Masking as a Pre-filtering Method for Watermark Detection and Extraction
title_fullStr Implementation of Adaptive Unsharp Masking as a Pre-filtering Method for Watermark Detection and Extraction
title_full_unstemmed Implementation of Adaptive Unsharp Masking as a Pre-filtering Method for Watermark Detection and Extraction
title_short Implementation of Adaptive Unsharp Masking as a Pre-filtering Method for Watermark Detection and Extraction
title_sort implementation of adaptive unsharp masking as a pre filtering method for watermark detection and extraction
topic adaptive unsharp masking
digital watermarking
pre-filtering
transform domain watermarking.
url http://advances.utc.sk/index.php/AEEE/article/view/1827
work_keys_str_mv AT onurjane implementationofadaptiveunsharpmaskingasaprefilteringmethodforwatermarkdetectionandextraction
AT gokhanhakkiilk implementationofadaptiveunsharpmaskingasaprefilteringmethodforwatermarkdetectionandextraction