Title :
A survey on joint data-hiding and compression techniques based on SMVQ and image inpainting
Author :
Sikha Mary Varghese;Alphonsa Johny;Jubilant Job
Author_Institution :
Department of Computer Science and Engineering, St. Joseph´s College of Engineering &
Abstract :
Today data hiding is latest research area in which secret data is hidden in any cover image like audio, video, file and image. Hiding of data is mainly done in medical and military needs. In this paper, it covers many data hiding and compression schemes, but we mainly focus on side match vector quantitation and image inpainting in this paper. The goal of using side match vector quantitation is to hide the secret data into a compressed image and to provide lossless reconstruction of the original image. Here both the functions, data hiding and compression can be integrated into a single module.
Keywords :
"Image coding","Vector quantization","Receivers","Data mining","Image reconstruction","Correlation","Image segmentation"
Conference_Titel :
Soft-Computing and Networks Security (ICSNS), 2015 International Conference on
Print_ISBN :
978-1-4799-1752-5
DOI :
10.1109/ICSNS.2015.7292367