Digital Design for Image-Adaptive Watermarking using CDF 5/3 Wavelet
Pankaj U. Lande1, Sanjay N. Talbar2, G. N. Shinde3
1Pankaj U. Lande *, Department of Electronics ,Rajaram College,Kolhapur (Maharashtra) India.
2Sanjay N. Talbar, Professor, Department of Electronics & Telecommunication Engg., SGGS Institute of Engineering & Technology Nanded, India.
3G. N. Shinde, Principal, Yashwant college, Nanded, India.
Manuscript received on November 12, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 571-581 | Volume-9 Issue-2, December, 2019. | Retrieval Number: F8990088619/2019©BEIESP | DOI: 10.35940/ijeat.F8990.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Paper This paper presents a hardware architecture for image-adaptive watermarking in the wavelet domain. The embedding strength factor is selected by calculating the energy present between the different frequency bands. The current algorithm is constructed on a CDF 5/3 wavelet based on the model of lossless compression JPEG 2000. Wavelet filters are implemented using a parallel architecture with a lifting scheme, which makes them more efficient in terms of speed and hardware utilization. The top module of the system is built with the combination of serial-parallel architecture to balance the speed and power consumption. The presented watermarking system is tested using hardware in the loop-testing technique. The objective is to develop an image-adaptive, real time, low power consumption and robust watermarking system, which can be incorporated into existing hardware such as digital cameras, scanners, and camcorders. The watermarking system’s efficiency against different assaults has been evaluated using the StirMark software. The proposed watermarking system showed robustness against most of the geometric and non-geometric attacks.
Keywords: Discrete Wavelet Transform (DWT), Field Programable Gate Array (FPGA), Hardware in the loop (HIL), Watermarking, Cohen–Daubechies–Feauveau wavelet (CDF).