DocumentCode :
3562484
Title :
A DWT-based image watermarking approach using quantization on filtered blocks
Author :
Thien Huynh-The ; Sungyoung Lee ; Hieu Pham-Chi ; Thuong Le-Tien
Author_Institution :
Dept. of Comput. Eng., Kyung Hee Univ., Yongin, South Korea
fYear :
2014
Firstpage :
280
Lastpage :
285
Abstract :
In this paper, the authors propose a digital watermarking scheme for gray-scale images, in which, coefficients of a host image are quantized in the wavelet domain. In particular, the binary watermark image is embedded into the wavelet-blocks that can be obtained by grouping four coefficients at different sub-bands at corresponding coordinates. The modification of only two coefficients at the LH4 and HL4 sub-bands is decided by the value of watermark bit and the significant difference of them. In order to improve the performance, these blocks are filtered by sorting in the difference as the reparation before applying an embedding algorithm. The improvement reduces the degradation in the output image. The method is evaluated for many samples under various types of attack including the geometric and non-geometric attacks. Moreover, the comparison of the proposed method and recent others is also represented at the same payload.
Keywords :
discrete wavelet transforms; image filtering; image watermarking; quantisation (signal); DWT-based image watermarking; HL4 sub-bands; LH4 sub-bands; binary watermark image; digital watermarking scheme; embedding algorithm; filtered blocks; gray-scale images; host image; nongeometric attacks; quantization; wavelet domain; wavelet-blocks; Discrete wavelet transforms; Equations; PSNR; Quantization (signal); Robustness; Watermarking; Blind Watermarking; Coefficient Quantization; Filtered Blocks; Otsu Method; Wavelet-Block; Within-Class Variance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Technologies for Communications (ATC), 2014 International Conference on
Print_ISBN :
978-1-4799-6955-5
Type :
conf
DOI :
10.1109/ATC.2014.7043398
Filename :
7043398
Link To Document :
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