An adaptive medical images watermarking using Quantum Particle Swarm Optimization

Quantum Particle Swarm Optimization (QPSO) in the field of medical image watermarking for copyright protection and authentication. The trade-off between the imperceptibility and robustness is one of most serious challenges in digital watermarking system. To solve the problem, image watermarking can be considered as an optimization problem by utilizing human visual system (HVS) characteristics and QPSO algorithm in adaptive quantization index modulation and singular value decomposition in conjunction with discrete wavelet transform (DWT) and discrete cosine transform (DCT). Experimental results prove the effectiveness of the proposed algorithm that yields a watermarked image with good visual fidelity, at the same time watermark able to withstand a variety of attacks including JPEG compression, Gaussian noise, Salt and Pepper noises, Gaussian filter, median filter, image cropping and image scaling.