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Anjum, R., Verma, P. and Verma, S. (2019) Multiple Image Watermarking for Efficient Storage and Transmission of Medical Images. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T. and Kashyap, R., Eds., Advances in Computing and Data Sciences. ICACDS 2019. Communications in Computer and Information Science, Vol 1046. Springer, Singapore.
https://doi.org/10.1007/978-981-13-9942-8_9

has been cited by the following article:

• TITLE: Multiple Image Watermarking with Discrete Cosine Transform

  AUTHORS: Mahbuba Begum, Mohammad Shorif Uddin

  KEYWORDS: Multiple Watermarking, Discrete Cosine Transform, Discrete Wavelet Transform, Arnold Transform

  JOURNAL NAME: Journal of Computer and Communications, Vol.9 No.3, March 29, 2021

  ABSTRACT: Multiple image watermarking is an advanced concept of singular watermarking techniques. The existing singular digital image watermarking techniques cannot obtain all the design goals, such as imperceptibility, robustness, security, and capacity simultaneously with perfection. Hence, the multiple image watermarking technique is designed that embeds several watermarks into the same host image for conveying multiple information. This paper proposed a multiple image watermarking technique with Discrete Cosine Transform (DCT) for ensuring the low computational time for embedding, encryption, decryption as well as extraction of the watermark images. Here, DCT is used to ensure the visual quality of the host image, and a random binary matrix is used to improve the security of the digital image. We have given a basic framework for multiple image watermarking. Our experimental results show satisfactory performance.