This paper proposes a novel oblivious image watermarking technique for the copyright protection and authentication of still images, based on Discrete Multiwavelet Transform (DMWT) and Quantization Index Modulus Modulation (QIMM). The multiwavelet coefficients of an image are quantized using QIMM and the coefficients are modified according to the binary watermark logo. Watermark extraction does not require the original image. Experimental results show that, the proposed watermarking scheme is robust to image compression and rotational attacks. It is superior to the method proposed by Lin et al. [10] in terms of Peak Signal to Noise Ratio (PSNR) and Bit Error Rate (BER).
Present era shows a rapid growth in the progress of digitization and creation of digital multimedia content. Image and Video makes up the majority component in digital multimedia content. The potential solution for protection and prohibiting copyright infringement of multimedia is only using digital watermarks. The characteristic of robustness, i.e., sustainable capability to withstand against various attacks, influences the applications and its performance in protection of copyright and authentication. This paper reviews importance of watermarking, design requirements for various applications, and focus on classification of video watermarking algorithms for copyright protection.
In 2011, Chan proposed a blind image authentication technique by generating the Parity-Check-Bits using Hamming code from a set of pixels whose bits have been reorganized. The Parity-Check-Bits generated are added by modifying other pixels. Due to this rearrangement, the mostsignificant bit of each suspected pixel can be determined. Using this information, the pixel can be recovered by calculating the average value and selecting one of the two possible original code words. However, calculating the average value, selects the same code word every time yielding to incorrect predictions. Moreover, use of Modulus function to facilitate improvement in quality of embedded image may alter the unused fifth position of each pixel. It is obvious that, the additional one bit or redundancy to detect the correct value may degrade the quality of the authenticated image. This paper proposes the mapping code book to generate Parity-Check-Bits and modified the embedding and recovery algorithms to avoid incorrect predictions and safeguard the fifth position of each pixel. The experimental results prove that the proposed algorithm has a greater capability to recover tampered regions with sufficiently good quality.
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