ROBUST INTEGER HAAR WAVELET BASED WATERMARKING USING SINGULAR VALUE DECOMPOSITION
Abstract: This paper proposed
a hybrid watermarking method that used dither quantization of Singular Value
Decomposition (SVD) on average coefficients of Integer Haar Wavelet Transform
(IHWT). The watermark image embeds through dither quantization process on
singular coefficients value. This scheme aims to obtain the higher robustness level
than previous method which performs dither quantization of SVD directly on
image pixels value. The experiment results show that the proposed method has
proper watermarked images quality above 38dB. The proposed method has better
performance than the previous method in term of robustness against several
image processing attacks. In JPEG compression with Quality Factor of 50 and 70,
JPEG2000 compression with Compression Ratio of 5 and 3, average filtering, and
Gaussian filtering, the previous method has average Normalized Correlation (NC)
values of 0.8756, 0.9759, 0.9509, 0.9905, 0.8321, and 0.9297 respectively.
While, the proposed method has better average NC values of 0.9730, 0.9884,
0.9844, 0.9963, 0.9020, and 0.9590 respectively.
Author: Prajanto Wahyu Adi,
Farah Zakiyah Rahmanti
Journal Code: jptkomputergg160003
