Abstract:
This paper introduces implementation of some image restoration techniques, which can
be applied for satellite images. These techniques are, inverse filter, iterative method, wiener
filter, regularized deconvolution filter and wavelet-based method. The restoration techniques
are applied on several satellite images associated with atmospheric turbulence blur at different
variance of additive noise to check the performance of each technique and its capability to
restore the degraded image as close as possible to the original image. Also, comparison
studies between these techniques are introduced based on measures like Peak Signal-to-Noise
Ratio (PSNR) and Root Mean Square Error (RMSE). The experimental results show that: the
wavelet method is the most suitable restoration technique for satellite images, since it gives
high PSNR and small RMSE with respect to the other restoration techniques.