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1 Image Processing & Communications

1 2008

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Correction of satellite images deformations using tropospheric aerosols

Khireddine A., Salvestrini J. P.

Image Processing & Communications

2008

Vol. 13, no 3-4

31-39

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.