EMBEDDING MULTIPLE IMAGES IN A SINGLE IMAGE USING BIT PLANE COMPLEXITY SEGMENTATION (BPCS) STEGANOGRAPHY

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Published: 2015-02-25

Page: 136-142


G. R. MANJULA *

Department of Computer Science and Engineering, JNN College of Engineering, Shimoga, Karnataka, India.

AJIT DANTI

Department of Computer Science and Engineering, JNN College of Engineering, Shimoga, Karnataka, India.

*Author to whom correspondence should be addressed.


Abstract

Steganography is a technique in which secret data is embedded into cover or vessel image in such a way that the third party will not be having any doubt. All of traditional techniques have limited information hiding capacity. This is because the principle of those techniques was either to replace a special part of the frequency components of the cover image, or to replace all the least significant bits of a multivalued image with the secret information. This paper focuses on embedding multiple images in a single cover image using BPCS (Bit Plane Complexity Segmentation) steganography. This technique takes the advantage of the human eye limitation where a human cannot identify any shape information in a very complicated binary pattern. We can replace all of the noise-like regions in the bit-planes of the vessel image with secret data without affecting the image quality. In BPCS technique, the binary image is divided into informative region and noise-like region [1]. The secret data is hidden into noise-like region of the cover or vessel image without any distortion to the vessel image. Multiple images can be hidden in a single image, in this paper 4 images are embedded in a single image.

Keywords: Steganography, bit plane complexity segmentation, least significant bit method


How to Cite

MANJULA, G. R., & DANTI, A. (2015). EMBEDDING MULTIPLE IMAGES IN A SINGLE IMAGE USING BIT PLANE COMPLEXITY SEGMENTATION (BPCS) STEGANOGRAPHY. Asian Journal of Mathematics and Computer Research, 2(3), 136–142. Retrieved from https://ikprress.org/index.php/AJOMCOR/article/view/50

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