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Color Image Steganography using Combined Pixel Value Differencing and Pixel Indicator Technique in Spatial Domain

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IJCA Proceedings on National Conference on Research Issues in Image Analysis and Mining Intelligence
© 2015 by IJCA Journal
NCRIIAMI 2015 - Number 1
Year of Publication: 2015
Authors:
M. G. Gouthamanaath
A. Kangaiammal

M.g.gouthamanaath and A.kangaiammal. Article: Color Image Steganography using Combined Pixel Value Differencing and Pixel Indicator Technique in Spatial Domain. IJCA Proceedings on National Conference on Research Issues in Image Analysis and Mining Intelligence NCRIIAMI 2015(1):20-23, June 2015. Full text available. BibTeX

@article{key:article,
	author = {M.g.gouthamanaath and A.kangaiammal},
	title = {Article: Color Image Steganography using Combined Pixel Value Differencing and Pixel Indicator Technique in Spatial Domain},
	journal = {IJCA Proceedings on National Conference on Research Issues in Image Analysis and Mining Intelligence},
	year = {2015},
	volume = {NCRIIAMI 2015},
	number = {1},
	pages = {20-23},
	month = {June},
	note = {Full text available}
}

Abstract

Steganography refers to the art of concealed writing which doesn't reveal a clue to an intruder who intended to access private information without authorization. Conventional schemes of spatial domain methods are prone to suspicion of secret information. Proposed technique combines both Pixel Value Differencing as well as Pixel Indicator technique ensuring higher security in addition no suspicion. In this work, any two selected planes from RGB planes of the image is partitioned into two pixel blocks and takes the difference between them. After scanning all the pixels, encrypted secret data is embedded inside the selected pixels in a random order. One plane acts as an indicator; any one of the other two planes holds the secret information. In this paper, by combining these methods the proposed work has been formulated for an optimal solution with high security, less computational cost and good image quality. The experimental results obtained shows that optimal solution with minimal cost and good image quality is achieved.

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