Digital Image Watermarking using Machine Learning Techniques: A Technical Review

Journal: GRENZE International Journal of Computer Theory and Engineering
Authors: Swati Sharma, Amit Kumar Singh, Pardeep Kumar
Volume: 2 Issue: 3
Grenze ID: 01.GIJCTE.2.3.517 Pages: 1-6

Abstract

Recently, digital information can be easily manipulated, copied, distributed and stored, which has resulted in the demand for safe ownership of the information. The watermarking provides a very good solution to the problem of copyright protection and content authentication. This paper discusses basic concepts of digital watermarking and its characteristics, important attacks on watermark system, general watermark embedding and extraction process, important transform and machine learning techniques and some reported transform and spatial domain based watermarking method using machine learning. Finally, the current state-of-the-art in the field is also discussed. This paper will be more important for researchers to implement effective watermarking method using machine learning technique.

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