Abstract
Synthetic Aperture Radar (SAR) satellite images are useful in many applications. However, the acquired SAR images are corrupted by noise and it must be denoised in order to retrieve the important details lost due to the noise effect. Denoising of the SAR satellites images represent a major and an important challenge for researchers in the field of image processing. Researchers have proposed many methods to decrease the image degradation due to the noise effect and retrieve a clear image. In general, many types of noise affect images. SAR satellite images are generally affected by speckle noise in the formation process. Our proposed method for speckle noise reduction in SAR images is based on the Bayesian Bootstrap filter and the Discrete Wavelet transform. Our experimental results are promising in terms of PSNR and histogram.
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