A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Framework for Improvising Dual Digital Watermarking through Deep Learning Techniques
2018
International Journal of Engineering Research and
Image watermarking has come through lot of improvisation over two decades still it provides number of research dimension is related to the compression rates, robustness against attacks and high security for privacy data. Achieving better compression rates in dual digital watermarking is still area of concern. Digital watermarking has four techniques for compression the image. The paper explains the state of art for all four techniques and reveals the importance of embedding of fragile and
doi:10.17577/ijertv7is020138
fatcat:bfqj7rm3k5hlje5ibtqhnlw6di