Comparative analysis of wavelet-based copyright protection techniques
by Jasvinder Kaur; Parvinder Singh
International Journal of Computational Vision and Robotics (IJCVR), Vol. 12, No. 3, 2022

Abstract: Copyright protection of digital content is the need of the hour. The watermarking in the form of wavelet in digital images is becoming popular nowadays. We have implemented and compared different wavelets family-based techniques for copyright protection. We have used Haar, Daubechies, biorthogonal and reverse biorthogonal wavelets to calculate the MSE and PSNR values for sample cover image and watermark images with constant values of approximate coefficient and intensity gain factor. We have also proposed to choose local threshold value of approximate coefficient of cover image in insertion algorithm. The local threshold value of cover image can improve the PSNR value significantly.

Online publication date: Tue, 03-May-2022

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