Adaptive speckle reduction using combined multiresolution analysis and prediction technique
Speckle appearing in SAR images as granular noise, must be reduced for good image classification and interpretation. In this paper, two techniques for speckle reduction are presented: an adaptive prediction technique and a multiresolution thresholding technique. When taking into account the tradeoff between speckle reduction and texture preservation, some limitations in terms of speckle reduction rate are observed. Two efficient schemes based on combinations of the two separate techniques are presented, and are shown to give better performance than the separate schemes in terms of speckle reduction and texture preservation. This is made possible because of the specific advantages of each technique.
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