Author(s): Manoj Chavan | Nitin Sambre | Aradhana Manekar
Journal: International Journal of Computer Applications
ISSN 0975-8887
Volume: icwet;
Issue: 8;
Date: 2012;
Original page
Keywords: Steganography | image embedding | CGC
ABSTRACT
In this paper, an image steganography system implemented is described, in which the data hiding (embedding) is achieved using image segmentation based on a local complexity measure. A complexity measure is de?ned in Steganography for discriminating noisy regions in an image. This paper presents a revised method for embedding data into an image by variation in complexity threshold measure and effect of standard deviation of various bit planes. The principle of the method is based on that of bit plane complexity based steganography. High embedding rates are achieved with low distortion based on the theory that noise-like regions in an image's bit-planes can be replaced with noise-like secret data without significant loss in image quality Percentage embeddable area of complex images is around 50% without visual distortion showing PSNR above 30dB. While computing complexity threshold minimum standard deviation of the plane should be selected
Journal: International Journal of Computer Applications
ISSN 0975-8887
Volume: icwet;
Issue: 8;
Date: 2012;
Original page
Keywords: Steganography | image embedding | CGC
ABSTRACT
In this paper, an image steganography system implemented is described, in which the data hiding (embedding) is achieved using image segmentation based on a local complexity measure. A complexity measure is de?ned in Steganography for discriminating noisy regions in an image. This paper presents a revised method for embedding data into an image by variation in complexity threshold measure and effect of standard deviation of various bit planes. The principle of the method is based on that of bit plane complexity based steganography. High embedding rates are achieved with low distortion based on the theory that noise-like regions in an image's bit-planes can be replaced with noise-like secret data without significant loss in image quality Percentage embeddable area of complex images is around 50% without visual distortion showing PSNR above 30dB. While computing complexity threshold minimum standard deviation of the plane should be selected
