IMPROVED ROBUST IMAGE WATERMARKING WITH POLAR HARMONIC TRANSFORM AGAINST TRANSLATION ATTACK

Robust image watermarking (RIW) is a type of image processing that is used to embed information / watermarks into digital images to prevent piracy. The insertion process must not cause the image to change and the embedded watermark must not be damaged even though the image is attacked. Some of t...

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Main Author: Hanifan, Mohamad
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/50780
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:50780
spelling id-itb.:507802020-09-25T12:17:59ZIMPROVED ROBUST IMAGE WATERMARKING WITH POLAR HARMONIC TRANSFORM AGAINST TRANSLATION ATTACK Hanifan, Mohamad Indonesia Theses feature matching, image processing, polar harmonic transform, robust image watermarking INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/50780 Robust image watermarking (RIW) is a type of image processing that is used to embed information / watermarks into digital images to prevent piracy. The insertion process must not cause the image to change and the embedded watermark must not be damaged even though the image is attacked. Some of the early methods used to perform RIW include DCT, DWT, or SVD which are very good at overcoming types of signal processing attacks. Meanwhile, to overcome geometric attacks such as rotation and scaling, radial-based transformations such as ZMs / pZMs, RHFMs, or PHT can be used. Among these transformations, the Polar Harmonic Transform (PHT) has the advantage of being less complex and thus simplifying the computational process. The disadvantage of RIW with PHT is that it cannot overcome this type of translation editing because it causes the image center point to shift, even though this point is needed as a reference point in carrying out transformations. In this study, this type of translation editing will be overcome by using the ORB feature matching to calculate the position of the new center point after the image has been translated. The test results show that without the proposed method, a translation of 3 pixels can cause watermark damage as much as 30%. This proposed method can calculate the center point of the transformation accurately as long as the portion of the image lost due to translation is less than 43%. In the translation range of 12% in the vertical and horizontal directions, with this proposed method the number of damaged information bits drops from about 30% to 10% for the translation type which causes part of the image to be lost, and 0% for the translation type without causing part of the image to become lost. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Robust image watermarking (RIW) is a type of image processing that is used to embed information / watermarks into digital images to prevent piracy. The insertion process must not cause the image to change and the embedded watermark must not be damaged even though the image is attacked. Some of the early methods used to perform RIW include DCT, DWT, or SVD which are very good at overcoming types of signal processing attacks. Meanwhile, to overcome geometric attacks such as rotation and scaling, radial-based transformations such as ZMs / pZMs, RHFMs, or PHT can be used. Among these transformations, the Polar Harmonic Transform (PHT) has the advantage of being less complex and thus simplifying the computational process. The disadvantage of RIW with PHT is that it cannot overcome this type of translation editing because it causes the image center point to shift, even though this point is needed as a reference point in carrying out transformations. In this study, this type of translation editing will be overcome by using the ORB feature matching to calculate the position of the new center point after the image has been translated. The test results show that without the proposed method, a translation of 3 pixels can cause watermark damage as much as 30%. This proposed method can calculate the center point of the transformation accurately as long as the portion of the image lost due to translation is less than 43%. In the translation range of 12% in the vertical and horizontal directions, with this proposed method the number of damaged information bits drops from about 30% to 10% for the translation type which causes part of the image to be lost, and 0% for the translation type without causing part of the image to become lost.
format Theses
author Hanifan, Mohamad
spellingShingle Hanifan, Mohamad
IMPROVED ROBUST IMAGE WATERMARKING WITH POLAR HARMONIC TRANSFORM AGAINST TRANSLATION ATTACK
author_facet Hanifan, Mohamad
author_sort Hanifan, Mohamad
title IMPROVED ROBUST IMAGE WATERMARKING WITH POLAR HARMONIC TRANSFORM AGAINST TRANSLATION ATTACK
title_short IMPROVED ROBUST IMAGE WATERMARKING WITH POLAR HARMONIC TRANSFORM AGAINST TRANSLATION ATTACK
title_full IMPROVED ROBUST IMAGE WATERMARKING WITH POLAR HARMONIC TRANSFORM AGAINST TRANSLATION ATTACK
title_fullStr IMPROVED ROBUST IMAGE WATERMARKING WITH POLAR HARMONIC TRANSFORM AGAINST TRANSLATION ATTACK
title_full_unstemmed IMPROVED ROBUST IMAGE WATERMARKING WITH POLAR HARMONIC TRANSFORM AGAINST TRANSLATION ATTACK
title_sort improved robust image watermarking with polar harmonic transform against translation attack
url https://digilib.itb.ac.id/gdl/view/50780
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