Hybrid Architecture For Reversible Watermarking Of Medical Images Using Wavelet Transforms Running head: Reversible Watermarking of Medical Images (original) (raw)
To overcome the difficulties in the performance analysis of the real time implementation of image processing algorithms; an attempt is made by proposing a hybrid architecture combining CPU and FPGA. FPGA is used as hardware accelerator. The proposed architecture is tested by implementing a real time reversible watermarking system using wavelet transform. Here, Two level Haar wavelet transform based watermarking approach is used. Results have shown that the proposed architecture provides robustness with low computational complexity. Peak Signal to Noise Ratio (PSNR) is used to compare simulation results (MATLAB) with the real time implementation (DE2-115) with respect to signal to PSNR. The experimental analysis shows the improvement in the PSNR when compare to its simulation result.
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