A Novel Multiple Objective Optimized Dual Watermarking Scheme Based On DWT-SVD Using Firefly Algorithm

As accessing medical images through web anywhere at any time is in demand, it is essential requirement to interpret and analyze the medical images accurately. The purpose of this paper is to present, digital watermarking technique for modern medical approaches with multiple objective optimization using Firefly algorithm in Discrete Wavelet Transform and Singular Value Decomposition domain with good security and robustness. The use of multi-objective optimization i.e. the perceptual quality through Peak Signal to Noise Ratio and robustness through Normalize Correlation by using firefly algorithm for the dual watermark image is a major part of this paper. To achieve better security Fibonacci-Lucas Transform is used to scramble the watermark images i.e. gray-scale watermark patient image and binary watermark patient information. Here high payload capacity and good perceptual quality is achieved with PSNR value 84.4912, NC values 0.9856 and 1 for respective watermark images. The evaluation illustrates good robustness against several attacks.