Thermal Image Encryption Based on Region of Interest (ROI) and Chaotic map

  • Authors

    • Lokesh B S Jain university, Banglore, Karnataka
    • Dr. Manjunatha M B RRIT, Banglore, Karnataka
    2018-08-24
    https://doi.org/10.14419/ijet.v7i3.15878
  • Region of Interest (ROI), MSB bit plane, Thermal images, Encryption, Decryption.

  • Abstract

    Most of the thermal image information concentrated on a particular region and 50% of image information stored in Most Significant Bit (MSB) plane. Based on these two strategy, proposed an thermal image encryption based on region of interest (ROI) and chaotic map. Firstly extract the MSB bit plane of thermal input image. This  MSB bit plane undergo ROI calculation method. This method involves the partition of MSB bit plane into several 16*16 blocks. Apply the thresholding function to each block to separate the ROI blocks. Then selected part from input thermal image undergo XOR operation between random image generated from chaotic map. For lossless decryption at the receiver side, embedded the index of ROI blocks using LSB embedding algorithm. Simulation results shows the proposed algorithm achieves good security and more efficiency.

  • References

    1. [1] Bin Wang, Yingjie Xie, Changjun Zhou Evaluating the permutation and diffusion operations used in imageencryption based on chaotic maps,Optik 127 (2016) 3541–3545.

      [2] Nidaa AbdulMohsin Abbas, Image encryption based on Independent Component Analysis and Arnold’s Cat MapEgyptian Informatics Journal (2016) 17, 139–146.

      [3] FrancescoAsdrubali , Detection of thermal bridges from thermographic images by means of image processing approximation algorithms. Applied Mathematics and Computation,Volume 317, 15 January 2018, Pages 160-171.

      [4] W.T.Chan, Application of optical character recognition in thermal image processing,Infrared Physics & Technology,Volume 54, Issue 4, July 2011, Pages 353-366.

      [5] ChanghangXu , An infrared thermal image processing framework based on superpixel algorithm to detect cracks on metal surface, Infrared Physics & Technology Volume 67, November 2014, Pages 266-272.

      [6] Henning Metzmacher , Real-time human skin temperature analysis using thermal image recognition for thermal comfort assessment,Energy and Buildings elsevier journal.

      [7] WenyingWen , Infrared target-based selective encryption by chaotic maps,Optics Communications Volume 341, 15 April 2015, Pages 131- 139.

      [8] LuXu, A novel bit-level image encryption algorithm based on chaotic maps, Optics and Lasers in Engineering, Volume 78, March 2016, Pages 17-25

      [9] YicongZhou , Image encryption using binary bitplane,Signal Processing Volume 100, July 2014, Pages 197-207.

      [10] Ignacio Bosch , Object Discrimination by Infrared Image Processing, springer, Bioinspired Applications in Artificial and Natural Computation pp 30-40.

      [11] C. Ibarra-Castanedo, D. Gonz´alez, M. Klein, M. Pilla, S. Vallerand, X. Maldague, Infrared image processing and data analysis, Infrared Physics & Technology, Volume 46, Issues 1–2, December 2004, Pages 75–83.

      [12] Yue Wu, Joseph P. Noonan, Shannon Entropy based Randomness Measurement and Test for Image Encryption Information Sciences 00 (2011) 1–23.

      [13] Yue Wu, Joseph P. Noonan, and Sos Agaian, NPCR and UACI Randomness

      Tests for Image Encryption Cyber Journals: Multidisciplinary Journals in Science and Technology, Journal of Selected Areas in Telecommunications (JSAT), April Edition, 2011.

      [14] Hussain, Iqtadar, Amir Anees, and Abdulmohsen Algarni. â€A novel algorithm for thermal image encryptionâ€, Journal of integrative neuroscience Preprint (2018): 1-15.

      [15] Lokesh, B. S., M. B. Manjunatha, and H. T. Panduranga. â€Novel Method for thermal image encryption.†Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on. IEEE, 2015.

      [16] Lokesh, B. S., M. B. Manjunatha, “A Novel Thermal Image Encryption using Histogram Diffusion and Chaos Mapâ€, Elixir Elec. Engg. 116 (2018) 50013-50016.

  • Downloads

    Additional Files

  • How to Cite

    B S, L., & M B, D. M. (2018). Thermal Image Encryption Based on Region of Interest (ROI) and Chaotic map. International Journal of Engineering & Technology, 7(3), 1944-1947. https://doi.org/10.14419/ijet.v7i3.15878