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: | |
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/50780 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | 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.
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