MULTI LEVEL WAVELET AND CURVELET BASED VIDEO WATERMARKING FOR COPYRIGHTPROTECTION
M. Selvaganapathy, R. Kayalvizhi · Journal of Critical Reviews · 2020
Nowadays, security plays a vital role in every field of applications. The main aim of this research work is to increase the authentication and security by means of multi-level Video Watermarking using Discrete Wavelet Transform (DWT). The nature of watermarking used in this work is Invisible Watermarking. In invisible watermarking, the input data such as image, video and audio can be embedded into the original video. This invisible video watermarking has to be attained in multi-level by using DWT. DWT algorithm has to be written using MATLAB coding. In order to have more secure data, a secret key is used during an embedded process. The original image can be extracted only if the correct secret key is matched at the output side. DWT is used to convert the spatial domain data into a spectral domain data. This algorithm may be used in variety of applications like copyright protection, defence applications, broadcasting applications, Meta data applications, etc.Similar to Discrete Wavelet Transform (DWT), Discrete Curvelet Transform also used to increase the authenticity of the input image with better quality.Curvelet transform is used for embedding the images into the video. In this research as a secondary, the procedure of watermarking is repeated with the Curvelet transform. The outcome of this research is to make secure digital data transmission that helps in variety of applications like broadcast monitoring, ownership assertion, medical applications and mostly used in defense department.