Satellite Image Deconvolution Using Complex Wavelet Packets

André Jalobeanu (1) , Laure Blanc-Féraud (1) , Josiane Zerubia (1)

1 ARIANA - Inverse problems in earth monitoring

The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem. The direct inversion leads to unacceptable noise amplificatio- n. Usually, either the problem is regularized during the inversion process, or the noise is filtered after deconvolution and decomposition in the wavelet transform domain. Herein, we have developed the second solution, by thresholding the coefficients of a new complex wavelet packet transform; the thresholding functions are automatically estimated. The use of complex wavelet packets enables translation invariance, and takes into account the directions, while remaining of complexity O(N). The obtained results exhibit both correctly restored textures and a high SNR in homogeneous areas. Compared to concurrent algorithms, the proposed method is faster, rotation invariant and takes into account the directions of the details and textures of the image to restore them better. The images deconvolved this way can be used as they are (the restoration step proposed here can be directly inserted in the acquisition chain). But they also can provide a starting point of an adaptive regularization method, enabling one to obtain sharper edges.

Mots clés: DECONVOLUTION; ESTIMATION TECHNIQUES; COMPLEX WAVELET PACKETS; SATELLITE IMAGES

Domaines: Autre [cs.OH]

André Jalobeanu, Laure Blanc-Féraud, Josiane Zerubia. Satellite Image Deconvolution Using Complex Wavelet Packets. [Research Report] RR-3955, INRIA. 2000, pp.116. ⟨inria-00072694⟩