Framework for Improvising Dual Digital Watermarking through Deep Learning Techniques

Saranya. G, Mrs. Priya Vijay
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
more » ... watermark during compression on the image encoder. The respective embedding approach on the image is termed as optimized compression/ watermarking algorithm and system. The papers also propose a framework with Deep learning techniques to improvise the existing systems.
doi:10.17577/ijertv7is020138 fatcat:bfqj7rm3k5hlje5ibtqhnlw6di