Enhancement of Multispectral Ikonos Satellite Image Using Quantum Information Processing

• Autorzy: Shanker N.R. , Ramakrishnan S.S.
• Języki publikacji: EN

Abstrakty

EN

The objective of the paper is to demonstrate how an image enhancement technique denoted quantumFourier transform, improves the possibilities for visual interpretation of multispectral IKONOS satellite image, covering an urban area. Image representation is usually based on a mathematical function that has two spatial values, x and y. The spatial points x and y in the image function have the values to represent intensity of the image at that spatial point. An alternative method of image representation is the transformation. Transformation is also a mathematical method in which an image is represented as complex exponential summations. The complex exponentials have the varying magnitudes, frequencies and phases. Transformation method of image representation is useful for image analysis, interpretations, filter etc. In this paper an image is represented based on the quantum mechanics for image analysis. The image is transformed using quantum Fourier transforms. For a specific application the result of processed image is better than the original image then it will be called as Enhancement. Enhancements of images are done in two broad categories. They are spatial domain methods and frequency domain methods. Frequency domain methods are based on transforms. And here quantum transforms is implemented. It is shown how the quantum Fourier transforms are applicable in the remote sensing satellite images, particularly for image enhancement. The satellite image of IKONOS is covering the Chennai city in Tamilnadu, India. From experimental result, it is observed that the pixels have low correlation when quantum Fourier transforms, are applied.

Słowa kluczowe

EN

quantum information processing; quantum computing matrix; shor,s algorithm

• Wydawca: IOS Press
• Czasopismo: Fundamenta Informaticae
• Rocznik: 2010
• Tom: Vol. 101, nr 4
• Strony: 305--320
• Opis fizyczny: Bibliogr. 11 poz., fot., wykr.

Twórcy

autor

Shanker N.R.

autor

Ramakrishnan S.S.

• Research Scholar, Institute of Remote Sensing Anna University, Chennai, India,

Bibliografia

• [1] Aguilar, M. A., Aguera, F., Aguilar, F. J., and Carvajal, F.: Geometric accuracy assessment of the orthorectification process from very high resolution satellite imagery for Common Agricultural Policy purposes. International Journal of Remote Sensing, 29(24), 20 December 2008, 7181-7197.
• [2] Elmqvist, B., Ardo, J., and Olsson L.: Land use studies in dry lands: an evaluation of object-oriented classification of very high resolution panchromatic imagery. International Journal of Remote Sensing, 29(24), 20 December 2008, 7129-7140.
• [3] Barenco A. Ekert, Sanpera, A., A & Machiavello. C.: A Short Introduction to quantum Computation. Available online at: http://www.qubit.org/library/intros/comp/comp.html, 1996.
• [4] Chaung, I. L., and Nielson, M.A.: Quantum computation and quantum information, Cambridge: Cambridge University Press, 2000, 5-150.
• [5] Chao-Yang Pang, Zheng-WeiZhou, Guang-can Guo: Quantum Discrete Cosine Transform for image compression, Available at: http://arxiv.org/PS cache/quant-ph/pdf/0601/0601043v2.pdf, 22 Jan 2006.
• [6] Cleve. R, Ekert, A., Machiavello, c., and Mosca, M.: Quantum algorithms revisited. Proc. R. Soc. London A 454, 1998, 339-354.
• [7] Feyman, R.: Simulating physics with computers. International Journal of Theoretical Physics 21(6&7), 1982, 467-488.
• [8] Glenn Beach, Dr. Chris Lomont., Dr. Charles Cohen.: Quantum Image Processing (QUIP), Proceeding of the 32nd Applied Imagery pattern recognition Workshop (AIPR'03), (IEEE Computer Society Press), 2003.
• [9] Lenstra, A., Lenstra Jr, H. W., Manasse, M. S., and Pollard, J. M.: The umber field sieve, Proceeding of the 22nd Annual ACM Sposium on Thursday of Computing, Baltimore, MD, (New York: ACM press), 14-16 May 1990.
• [10] Shore, P. W.: Algorithms for Quantum Computation, Discrete logarithms and factoring, Proceedings of the 35th symposium on foundation of Computer Science (S. Glod wasser, Ed.), Santa Fe, NM LOS.Alaitos, CA; IEEE Computer Society Press, 20-22 November 1994.
• [11] Shor, P. W.: Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer, SIAM. J. on comp., 26(5), 1997, 1484-1509.