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Improved RSA Encryption based Medical Image Compression using Fractional Fourier Transform and Modified SPIHT Encoding Scheme

by Vasanthi Kumari P, K. Thanushkodi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 79 - Number 2
Year of Publication: 2013
Authors: Vasanthi Kumari P, K. Thanushkodi
10.5120/13714-1473

Vasanthi Kumari P, K. Thanushkodi . Improved RSA Encryption based Medical Image Compression using Fractional Fourier Transform and Modified SPIHT Encoding Scheme. International Journal of Computer Applications. 79, 2 ( October 2013), 25-32. DOI=10.5120/13714-1473

@article{ 10.5120/13714-1473,
author = { Vasanthi Kumari P, K. Thanushkodi },
title = { Improved RSA Encryption based Medical Image Compression using Fractional Fourier Transform and Modified SPIHT Encoding Scheme },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 79 },
number = { 2 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 25-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume79/number2/13714-1473/ },
doi = { 10.5120/13714-1473 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:51:59.213255+05:30
%A Vasanthi Kumari P
%A K. Thanushkodi
%T Improved RSA Encryption based Medical Image Compression using Fractional Fourier Transform and Modified SPIHT Encoding Scheme
%J International Journal of Computer Applications
%@ 0975-8887
%V 79
%N 2
%P 25-32
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Medical image data generally need a huge amount of resources for storage and transmission. In recent years, due to the extensive popularity of medical imaging applications in healthcare settings and the increased interest in telemedicine technologies, it is important to minimize both storage and transmission bandwidth necessities required for archival and communication of related data, preferably by employing compression techniques. The security of the compressed image has also become an essential part in medical image analysis. This research focuses on providing efficient compression of the DICOM images with better security and authentication. The DICOM images are encrypted using Improved RSA Variant for better overall performance. This approach uses efficient fractional Fourier Transform and Block based Pass-Parallel SPIHT for compressing the DICOM images. The performance of the proposed approach is compared with the existing approaches and is observed to provide better PSNR and lower MSR values.

References
  1. V. Sanchez, R. Abugharbieh, and P. Nasiopoulos, 2009. "Symmetry-Based Scalable Lossless Compression of 3D Medical Image Data", IEEE Transactions on Medical Imaging, Vol. 28, No. 7.
  2. Sandeep Kumar, 2011. "Image Compression Based on Improved Spiht and Region of Interests", 2011.
  3. R. Tamilselvi and G. Ravindran, 2011. "Encryption and Security Analysis Using Modified Advanced Encryption Standard Based Algorithm in DICOM Images Using Histogram and Encryption Quality", European Journal of Scientific Research ISSN 1450-216X Vol. 54 No. 4 (2011), pp. 569-575.
  4. Andrew B. Watson, 1994. "Image Compression Using the Discrete Cosine Transform", Mathematica Journal, 4(1), 1994, p. 81-88.
  5. Namias, V. 1980. "The fractional order Fourier transform and its application to quantum mechanics", Journal of Institute of Mathematics and its Applications,no. 25, 241-265.
  6. Rajinder Kumar, Kulbir Singh and Rajesh Khanna, 2012. "Satellite Image Compression using Fractional Fourier Transform", International Journal of Computer Applications (0975 – 8887) Volume 50 – No. 3, 2012.
  7. Ma, Jing; Fei, Jindong; Chen, Dong, 2011. "Rate-distortion weighted SPIHT algorithm for interferometer data processing", Journal of Systems Engineering and Electronics, Volume: 22, Issue: 4 Page(s): 547 – 556.
  8. Mare, S. F. ; Vladutiu, M. ; Prodan, L. , 2011. "Secret data communication system using steganography, AES and RSA", IEEE 17th International Symposium for Design and Technology in Electronic Packaging (SIITME).
  9. Gaochang Zhao ; Xiaolin Yang ; Bin Zhou ; Wei Wei, 2010. "RSA-based digital image encryption algorithm in wireless sensor networks", 2nd International Conference on Signal Processing Systems (ICSPS).
  10. Anane, N. ; Anane, M. ; Bessalah, H. ; Issad, M. ; Messaoudi, K. , 2010. "RSA based encryption decryption of medical images", 7th International Multi-Conference on Systems Signals and Devices (SSD).
  11. Cesar Alison Monteiro Paixao and Decio Luiz Gazzoni Filho, 2003. "An efficient variant of the RSA cryptosystem",
  12. Boneh, D. and Shacham, H. (2002). Fast variants of RSA. RSA Laboratories.
  13. Quisquater, J. -J. and Couvreur, C. (1982). Fast decipherment algorithm for RSA publickey cryptosystem. Eletronic Letters, 18:905–907.
  14. Collins, T. , Hopkins, D. , Langford, S. , and Sabin, M. (1997). Public key cryptographic apparatus and method. US Patent #5,848,159.
  15. Wiener, M. (1990). Cryptanalysis of short RSA secret exponents. IEEE Transactions on Information Theory, 36(3):553–558.
  16. Ma, Jing; Fei, Jindong; Chen, Dong, 2011, "Rate-distortion weighted SPIHT algorithm for interferometer data processing", Journal of Systems Engineering and Electronics, Volume: 22, Issue: 4 Page(s): 547 – 556.
  17. Pei, S. C. andYeh, M. H. 1996. "Discrete fractional Fourier transform" IEEE International Symposium onCircuits and Systems,vol. 2, 536 – 539.
  18. McClellan, J. H. and Parks,T. W. 1972. "Eigenvalue and Eigen vector decomposition of the discrete Fourier transform", IEEE Transaction on Audio and Electroacoustics, AU-20, 66-74, (Mar. 1972).
  19. Dickinson,B. W. and Steiglitz,K. 1982. "Eigenvectors and functions of the discrete Fourier transform", IEEE Transaction Acoustic. , Speech, and Signal Processing. , vol. ASSP-30, 25-31, (Feb. 1982).
  20. Pei, S. C. andYeh, M. H. 1998. "Two dimensional discrete fractional Fourier transform", Signal Processing, vol. 67, 99-108.
  21. Yetik, I. S. , Kutay, M. A. and Ozaktas,H. M. 2001. "Image representation and compression using fractional Fourier transform", Optical Communication. , vol. 197, 275-278.
  22. Hualiang Zhu, Chundi Xiu and Dongkai Yang, 2010. "An improved SPIHT algorithm based on wavelet coefficient blocks for image coding", International Conference on Computer Application and System Modeling (ICCASM),
  23. V. R. Algazi and J. Estes, 1995. "Analysis-based coding of image transform and subband coefficients", in Proc. SPIE Vis. Commun. Image Process. Conf. , pp. 11–21
Index Terms

Computer Science
Information Sciences

Keywords

DICOM Block based Pass-Parallel SPIHT Fractional Fourier Transform Magnetic Resonance Imaging (MRI).

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