Paper
19 October 2012 Reversible data hiding for tampering detection in remote sensing images using histogram shifting
Jordi Serra-Ruiz, David Megias
Author Affiliations +
Abstract
This paper presents a reversible fragile data hiding scheme for tampering detection in remote sensing images based on the histogram shifting approach. The image to be protected is divided into blocks of a reduced size and a subset of the image bands are selected for embedding. Instead of using the histogram of each separate band, the shifting process is applied to the histogram of the maximum component (or infinity norm) of the vectors obtained with the selected bands. The proposed approach is reversible and thus, the original image can be fully recovered once it has been authenticated. The method is designed to detect specific forged blocks (areas) of the protected image and is shown to succeed to detect copy and replace attacks. In addition, the experimental results, presented for the Cuprite AVIRIS image, show that the method yields extremely high transparency, with PSNR larger than 100 dB prior to reversing the scheme and recovering the original image.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jordi Serra-Ruiz and David Megias "Reversible data hiding for tampering detection in remote sensing images using histogram shifting", Proc. SPIE 8514, Satellite Data Compression, Communications, and Processing VIII, 85140Y (19 October 2012); https://doi.org/10.1117/12.934248
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Digital watermarking

Remote sensing

Image processing

Image segmentation

Image compression

Data hiding

Feature extraction

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