Probing Image and Video Steganography Based On Discrete Wavelet and Discrete Cosine Transform

Submitted by grigby1 on Mon, 02/10/2020 - 10:43am

Title	Probing Image and Video Steganography Based On Discrete Wavelet and Discrete Cosine Transform
Publication Type	Conference Paper
Year of Publication	2019
Authors	Selvi J., Anitha Gnana, kalavathy G., Maria
Conference Name	2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
Date Published	mar
ISBN Number	978-1-7281-1599-3
Keywords	composability, Conferences, data encapsulation, DCT, discrete cosine transform, discrete cosine transforms, discrete wavelet transform, discrete wavelet transforms, DWT, embedding payload, Embedding potency, error correcting codes, file transformation, image motion analysis, Image Steganography, Kalman filters, least significant bit method, LSB, message embedding, Metrics, motion object detection, Multiple Object Tracking, multiple object tracking algorithmic programs, object detection, object tracking, privacy, pubcrawl, secured communication, steganography, steganography detection, video steganography, visualization
Abstract	Now-a-days, video steganography has developed for a secured communication among various users. The two important factor of steganography method are embedding potency and embedding payload. Here, a Multiple Object Tracking (MOT) algorithmic programs used to detect motion object, also shows foreground mask. Discrete wavelet Transform (DWT) and Discrete Cosine Transform (DCT) are used for message embedding and extraction stage. In existing system Least significant bit method was proposed. This technique of hiding data may lose some data after some file transformation. The suggested Multiple object tracking algorithm increases embedding and extraction speed, also protects secret message against various attackers.
URL	https://ieeexplore.ieee.org/document/8918827
DOI	10.1109/ICONSTEM.2019.8918827
Citation Key	selvi_j_probing_2019

Groups:

Science of Security VO