Correction of satellite images deformations using tropospheric aerosols

• Autorzy: Khireddine, A. , Salvestrini, J. P.
• Języki publikacji: EN

Abstrakty

EN

Modern digital technology has made it possible to manipulate multi-dimensional signals with systems that range from simple digital circuits to advanced parallel computers [1, 2]. The theory of Wiener gives the filter which minimizes the residual error (difference between the real exit and the desired exit), thus, the 2D Wiener filter gives a solution to many problems of two-dimensional signal processing such as the restoration of degraded images. However, since the determination of this filter implies the solution of a linear equations system with great dimension, fast algorithms are necessary. The effort of calculation for the determination of the coefficients of this filter depends primarily on the statistical nature of the input signal. The images provided by sensors are intended for various applications, however the geometrical deformations which accompanies them make them not easily exploitable. The goal of the geometrical correction is to generate an image presented according to one of the forms of projections cartographic of everyday usage; an image whose geometry is superposable to another is already corrected image. The method proposed in this paper is the analytical approach. And the optimal filter is the bicubic filter. Our survey concern in working out a sequential algorithm of numeric synthesis filter. To realize an Infinite Impulse Response (IIR) according to a model we need to apply the new concept of the parallelism; so to conceive an intended parallel algorithm to be executed on a map multiprocessors.

Słowa kluczowe

EN

image compression; image coder; dictionary of base functions; matching pursuit

• Czasopismo: Image Processing & Communications
• Rocznik: 2008
• Tom: Vol. 13, no 3-4
• Strony: 31-39
• Opis fizyczny: Bibliogr. 19 poz., rys.

Twórcy

autor

Khireddine, A.

autor

Salvestrini, J. P.

• Electronic Department, faculty of sciences university of Bejaia (06000), Algeria,

Bibliografia

• [1] A. Khireddine, K. Benmahammed, Apllication of intelligent matching to automatic speech recognition-ISH99 (international symposium on high voltage), IEEE conference publication, vol. 4, pp.270-P6, code ISBN.0852967195, London UK, 1999.
• [2] R. Chellapa, A. Sawchuk, Digital image processing and analysis, vol. I, IEEE Computer Society, 1985.
• [3] A. Khireddine, K. Madi, Global appoach of correction of geometrical satellite images, the fourth physical congress, USTHB, vol.2, pp. 55-59, 21-23, November 2000, Alger.
• [4] A. Khireddine, D. Chikouche, Optimization by filter algorithm synthesis, AMSE, CSS’95 international conference, vol. 1, pp. 9-14, Rabat, Morroco, 1995.
• [5] A. Khireddine, K. Benmahammed, Application of numerical filtering for parallel treatment , CIMASI 2000 international conference, university of Rabat, vol. 2, pp. 132-139, Morocco, 2000.
• [6] A. Khireddine, H. Aziri, Application of FIR filter for restored images IMPAC’02 conference, vol. 1, pp. 50, code ISSN 3112-4059, IAP, Boumerdes, Algeria, 2002.
• [7] A. Khireddine, K. Benmahammed, Simulation and reconstitution of the image of a leakage currents, Journes internationales sur les sciences de la marine, vol. 2, pp. 321-327, Tamentfoust, Algiers, 1999.
• [8] A. Khireddine, K. Madi, Geometrical Correction of satellite images by analytical aproach IMPAC’00 conference, vol. 1, pp. 65-72, code ISSN 1112-3052, Boumerdes university, Algeria, 2000.
• [9] B. Zeng, Y. Neuvo, Optimal Parallel Stack Filtering under the Mean Absolute Error Criterion, IP(3), No. 3, pp. 324-327, May 1994.
• [10] J.M. Links, Prince, J.L., Gupta, S.N., A vector Wiener filter for dual-radionuclide imaging, MedImg(15), No. 5, pp. 700-709, October 1996.
• [11] A. Concetti, L. Jetto, Two-Dimensional Recursive Filtering Algorithm with Edge-Preserving Properties and Reduced Numerical Complexity, CirSysSignal(44). No. 7, pp. 587-591, July 1997.
• [12] X. Wang, Two-Dimensional Bayesian Estimator for Image Filtering, IP(8), No. 7, pp. 993-996, July 1999.
• [13] N. Towghi, B. Javidi, LP-Norm optimum filters for image recognition Part I. Algorithms, JOSA-A(16), No. 8, pp. 1928-1935, August 1999.
• [14] R.R. Gharieb, Cumulant-based LP method for two-dimensional spectral estimation, VISP(146), No. 6, pp. 307-315, December 1999.
• [15] K.S. Knudsen, L.T. Bruton, Mixed domain filtering of multidimensional signals, CirSysVideo(l), No. 3, pp. 260-268, September 1999.
• [16] R.R.Gharieb, Cumulant-based LP method for two-dimensional spectral estimation,VISP(146), No. 6, pp. 307, December 1999.
• [17] B. Pokric, N.M. Allinson, E.T. Bergstrm, D.M. Goodall, Combining linear filtering and radial basis function networks for accurate profile recovery, VISP(146), No. 6, pp. 297, December 1999.
• [18] B.V.K.V. Kumar, A. Mahalanobis, A.Takessian, Optimal Tradeoff Circular Harmonic Function Correlation Filter Methods Providing Controlled In-Plane Rotation Response, IP(9), No. 6, pp. 1025-1034, June 2000.
• [19] I.R. Khan, R. Ohba, N. Hozumi, Noise robustness of nonlinear filters for image recognition, JOSA-A(18), No. 9, pp. 2054-2071, September 2001.