Secured Blind Image Watermarking Using Entropy Technique in DCT Domain

Autor: R. Rama Kishore, Megha Gupta
Rok vydání: 2021
Předmět:
Zdroj: Proceedings of Second Doctoral Symposium on Computational Intelligence ISBN: 9789811633454
DOI: 10.1007/978-981-16-3346-1_3
Popis: In the current situation, we can communicate sound, video and pictures with the utmost ease. However, security and copyright of the media turned into a significant issue, so a rising method, known as digital watermarking, is utilized for shielding digital media from counterfeiting and unapproved use. In this paper, a blind image watermarking technique is presented, which uses the entropy method and watermark encryption with the predefined mathematical function to make the process more robust, secure and imperceptible. A watermark is inserted in the DCT domain, which facilitates robustness in bandpass filtering actualized channels. To provide objective evidence of the performance, the performance measures peak signal to noise ratio (PSNR) and normalized correlation (NC) are used. The method can achieve greater than 40 dB PSNR value, and the NC values are in the range of 0.9–1. The proposed technique has been actualized in MATLAB 2020a, and on testing, under various attacks, the technique achieved a great balance between imperceptibility and robustness.
Databáze: OpenAIRE