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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

Impact Factor: RJIF 5.2

International Journal of Applied Research

Vol. 2, Issue 6, Part E (2016)

Joint data hiding and compression scheme on efficient threshold computation algorithm

Author(s)
AS Shankari and Dr. J Shanthini
Abstract
The rapid development of internet technology that in development, people can transmit the data and share digital (images, video) content with each other conveniently and it is rapidly used. The existing system introduced a Novel Joint Data-Hiding and Compression Scheme which is based on the side match vector quantization (SMVQ) and image inpainting. However the predefined threshold value cannot be accurately decided to all the images to obtain optimal embedding capacity and to achieve exact recover cover image. And also PDE-based image inpainting algorithms were used for maintaining the structure of the Inpainting area. And hence these algorithms produce blurred resulting image and large textured regions are not well reproduced. To overcome this problem, the proposed system introduced an efficient threshold computation algorithm and exemplar based inpainting algorithm.
Pages: 293-296  |  510 Views  6 Downloads
How to cite this article:
AS Shankari and Dr. J Shanthini. Joint data hiding and compression scheme on efficient threshold computation algorithm. International Journal of Applied Research. 2016; 2(6): 293-296.
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International Journal of Applied Research