期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：5
页码：4299-4303
出版社：TechScience Publications
摘要：Steganography is the knowledge and art of hiding secret data into information which is a great extent utilized as a part of data security frameworks. Steganography typically manages the methods for concealing the presence of the conveyed information in a manner that it stays secret. It keeps up mystery between two conveying gatherings. In image steganography, mystery is accomplished by embedding information into a cover image and creating a stego image. Different techniques have been proposed in which in which most of them are not capable of both preventing visual degradation and providing a large embedding capacity. In this, we spotlights on the property of human vision structure that offer help to manufacture the measure of data concealing in the bitmap (.bmp) and JPEG (.JPG) pictures in every way that really matters. In this paper, we proposed a tunable visual picture quality and information lossless system in spatial domain based on a genetic algorithm. The essential thought about the proposed framework is showing the steganography issue as a hunt and advancement issue. Experimental results demonstrate that the proposed approach performs high embedding point of confinement and in addition overhauls the PSNR and MSE of the stego image.
