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.