Soulard, R. and Carré, P. (2010) Quaternionic Wavelets for Texture Classification. Proceedings of the 35th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), Dallas, 15-19 March 2010, 4134-4137.
https://doi.org/10.1109/ICASSP.2010.5495732

has been cited by the following article:

• TITLE: Hybrid Successive CFA Image Encryption-Watermarking Algorithm Based on the Quaternionic Wavelet Transform (QWT)

  AUTHORS: Hervé Abena Ndongo, Marcelin Vournone, Mireille Pouyap, Taya Ngakawa, Paul Abena Malobe

  KEYWORDS: Encryption, Blind Watermarking, Chaos, CFA Images, QWT

  JOURNAL NAME: Journal of Information Security, Vol.13 No.4, August 31, 2022

  ABSTRACT: In this paper, we present a new robust hybrid algorithm combining successively chaotic encryption and blind watermarking of images based on the quaternionic wavelet transform (QWT) to ensure the secure transfer of digital data. The calculations of the different evaluation parameters have been performed in order to determine the robustness of our algorithm to certain attacks. The application of this hybrid algorithm on CFA (Color Filter Array) images, allowed us to guarantee the integrity of the digital data and to propose an autonomous transmission system. The results obtained after simulation of this successive hybrid algorithm of chaotic encryption and then blind watermarking are appreciated through the values of the evaluation parameters which are the peak signal-to-noise ratio (PSNR) and the correlation coefficient (CC), and by the visual observation of the extracted watermarks before and after attacks. The values of these parameters show that this successive hybrid algorithm is robust against some conventional attacks.