Visible to the public A blind watermarking technique using redundant wavelet transform for copyright protection

TitleA blind watermarking technique using redundant wavelet transform for copyright protection
Publication TypeConference Paper
Year of Publication2018
AuthorsErnawan, Ferda, Kabir, Muhammad Nomani
Conference Name2018 IEEE 14th International Colloquium on Signal Processing Its Applications (CSPA)
KeywordsArnold chaotic map, blind watermarking technique, composability, copy protection, copyright, copyright protection, data compression, digital images, digital watermarking technique, Entropy, geometrical attacks, host image, Human Behavior, human factors, hybrid blind watermarking technique, hybrid scheme RDWT-SVD, Image coding, image watermarking, intellectual property, ip protection, JPEG2000 compression, Low pass filters, Metrics, modified entropy, orthogonal matrix, policy-based governance, pubcrawl, redundant wavelet transform, redundant weavelet transform, resilience, Resiliency, Robustness, Signal processing, singular value decomposition, Transform coding, watermark embedding locations, watermark extraction, watermark image, watermark insertion, Watermarking, wavelet transforms
AbstractA digital watermarking technique is an alternative method to protect the intellectual property of digital images. This paper presents a hybrid blind watermarking technique formulated by combining RDWT with SVD considering a trade-off between imperceptibility and robustness. Watermark embedding locations are determined using a modified entropy of the host image. Watermark embedding is employed by examining the orthogonal matrix U obtained from the hybrid scheme RDWT-SVD. In the proposed scheme, the watermark image in binary format is scrambled by Arnold chaotic map to provide extra security. Our scheme is tested under different types of signal processing and geometrical attacks. The test results demonstrate that the proposed scheme provides higher robustness and less distortion than other existing schemes in withstanding JPEG2000 compression, cropping, scaling and other noises.
DOI10.1109/CSPA.2018.8368716
Citation Keyernawan_blind_2018