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Proceedings Paper

Cropping and noise resilient steganography algorithm using secret image sharing
Author(s): Oswaldo Juarez-Sandoval; Atoany Fierro-Radilla; Angelina Espejel-Trujillo; Mariko Nakano-Miyatake; Hector Perez-Meana
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Paper Abstract

This paper proposes an image steganography scheme, in which a secret image is hidden into a cover image using a secret image sharing (SIS) scheme. Taking advantage of the fault tolerant property of the (k,n)-threshold SIS, where using any k of n shares (k≤n), the secret data can be recovered without any ambiguity, the proposed steganography algorithm becomes resilient to cropping and impulsive noise contamination. Among many SIS schemes proposed until now, Lin and Chan’s scheme is selected as SIS, due to its lossless recovery capability of a large amount of secret data. The proposed scheme is evaluated from several points of view, such as imperceptibility of the stegoimage respect to its original cover image, robustness of hidden data to cropping operation and impulsive noise contamination. The evaluation results show a high quality of the extracted secret image from the stegoimage when it suffered more than 20% cropping or high density noise contamination.

Paper Details

Date Published: 4 March 2015
PDF: 7 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94431S (4 March 2015); doi: 10.1117/12.2179745
Show Author Affiliations
Oswaldo Juarez-Sandoval, National Polytechnic Institute (Mexico)
Atoany Fierro-Radilla, National Polytechnic Institute (Mexico)
Angelina Espejel-Trujillo, National Polytechnic Institute (Mexico)
Mariko Nakano-Miyatake, National Polytechnic Institute (Mexico)
Hector Perez-Meana, National Polytechnic Institute (Mexico)

Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)

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