@article{MAKHILLAJIT20201996807,
    title = {Certain Investigations on Reversible Image Watermarking},
    journal = {Asian Journal of Information Technology},
    volume = {19},
    number = {9},
    pages = {198-206},
    year = {2020},
    issn = {1682-3915},
    doi = {ajit.2020.198.206},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2020.198.206},
    author = {T. and},
    keywords = {Reversible watermarking,importance measure model,prediction error,OPSO bi-orthogonal DWT,entropy,PSNR,NC,correlation coefficient},
    abstract = {The main objective of image watermarking is
to protect secret information in a digital medium without
compromising robustness. There are many approaches
introduced regarding the importance of utilizing medical,
military and natural images for image watermarking
procedure. Reversible watermarking is appreciated that
the original media can be recovered without any loss of
information after extracting stego-data. With an aim to
provide higher security and robustness, certain
investigations have been done on reversible image
watermarking. The scheme proposed in this research not
only outperforms other methods with respect to a variety
of attacks but still maintains a satisfactory image quality.
This research mainly addresses on privacy, reversibility,
payload and robustness related goals. Considering these
challenges, three parts of image watermarking techniques,
namely proposed Bi-orthogonal Wavelet Transform and
Importance Measure Model (BWT and IMM), proposed
Dynamic Prediction Error Integrated Reversible Image
Watermarking (DPEIRIW) and proposed Multi Wavelet
Transform and Oppositional Particle Swarm Optimization
(MWT-OPSO) are proposed to improve the data hiding
performance.}
    }