Abstract
In this paper, a homomorphic framework is used for the enhancement and retrieval of speckled image. The log function at the starting of the structure is used to transform the speckled image (with multiplication noise) to a noisy image (with additive noise). This image is then applied to classical contourlet transform to decompose the noisy image into approximation and details. To retrieve the image without speckle noise, some suitable threshold level is chosen. In the reconstruction part, inverse contourlet transform is performed with an exponential function to compensate for the log one. The proposed technique is compared with other techniques. The result of comparison reflects the proposed technique superiority.
