Paper
4 March 2015 Cropping and noise resilient steganography algorithm using secret image sharing
Oswaldo Juarez-Sandoval, Atoany Fierro-Radilla, Angelina Espejel-Trujillo, Mariko Nakano-Miyatake, Hector Perez-Meana
Author Affiliations +
Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 94431S (2015) https://doi.org/10.1117/12.2179745
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Oswaldo Juarez-Sandoval, Atoany Fierro-Radilla, Angelina Espejel-Trujillo, Mariko Nakano-Miyatake, and Hector Perez-Meana "Cropping and noise resilient steganography algorithm using secret image sharing", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94431S (4 March 2015); https://doi.org/10.1117/12.2179745
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KEYWORDS
Steganography

Image processing

Image quality

Contamination

Image restoration

Image segmentation

Data hiding

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