A Comparison of Joint Reversible Data Hiding Methods in Encrypted Remote Sensing Satellite Images

Ali Syahputra Nasution and Gunawan Wibisono (2020) A Comparison of Joint Reversible Data Hiding Methods in Encrypted Remote Sensing Satellite Images. In: 4th International Seminar on Sensors, Instrumentation, Measurement and Metrology, 14 November 2019, Padang, Indonesia.

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Abstract

The distribution of remote sensing satellite data from the National Remote Sensing Data Bank (BDPJN) of the National Institute of Aeronautics and Space (LAPAN) to users via
the internet requires security so that it is not used illegally by unauthorized parties. Encryption and reversible data hiding are two effective and popular privacy protection and confidential
communication solutions. With encryption, data is randomized so it can't be read. Whereas with reversible data hiding, the receiver can extract hidden data and restore the original image
without distortion. In this paper, some remote sensing satellite images are used as input in the simulation that is analyzed and compared based on the three methods of joint reversible data
hiding in encrypted images, i.e. Zhang's work, Hong's work, and Fatema's work. The experimental results show that Hong’s et al. method reveals the best performance of the three methods. For example, when the block size is 8x8, the bit error rate (BER) of the SPOT-6 test image of Hong’s et al. method was 12.06%, which is slightly lower than the 14.01% Zhang’s method and 11.89% Fatema’s et al. method. Likewise, the quality of remote sensing satellite image (image_spot6) recovery represented by the peak signal to noise ratio (PSNR) of Hong’s et al. method is 49.96 dB, which is quite higher than the 48.26 dB of Zhang’s method and 48.98 dB of Fatema’s et al. method.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Remote sensing,satellite images, data
Subjects: Taksonomi LAPAN > Teknologi Penginderaan Jauh > Pengelolaan dan Pengembangan > Citra Satelit
Taksonomi LAPAN > Teknologi Penginderaan Jauh > Pengelolaan dan Pengembangan > Fasilitas Bank Data Penginderaan Jauh Nasional
Divisions: LAPAN > Deputi Penginderaan Jauh > Pusat Teknologi dan Data Penginderaan Jauh
Depositing User: Administrator Repository
Date Deposited: 10 Apr 2021 15:13
Last Modified: 19 Jul 2022 06:50
URI: https://karya.brin.go.id/id/eprint/11777

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