Minichino, J. (2016) OpenCV 3 Computer Vision: Python Language Implementation. 2nd Edition, Mechanical Industry Press, Beijing.

has been cited by the following article:

• TITLE: Embedding and Extracting Digital Watermark Based on DCT Algorithm

  AUTHORS: Haiming Li, Xiaoyun Guo

  KEYWORDS: Digital Watermark, DCT Algorithm, White Noise, Gaussian Low-Pass Filtering, Robustness, Imperceptibility

  JOURNAL NAME: Journal of Computer and Communications, Vol.6 No.11, November 28, 2018

  ABSTRACT: The principle of digital watermark is the method of adding digital watermark in the frequency domain. The digital watermark hides the watermark in digital media, such as image, voice, video, etc., so as to realize the functions of copyright protection, and identity recognition. DCT for Discrete Cosine Transform is used to transform the image pixel value and the frequency domain coefficient matrix to realize the embedding and extracting of the blind watermark in the paper. After success, the image is attacked by white noise and Gaussian low-pass filtering. The result shows that the watermark signal embedded based on the DCT algorithm is relatively robust, and can effectively resist some attack methods that use signal distortion to destroy the watermark, and has good robustness and imperceptibility.