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Information × Registration Number 0205U000052, 0103U003842 , R & D reports Title Development of wavelet-based signal and image processing methods popup.stage_title Head Vynogradov Volodymyr Viktorovych, Registration Date 11-01-2005 Organization Institute of Radio Astronomy of Sciences of Ukraine popup.description2 The aim of the work is the development of effective filters based on wavelet transform that can be used to remove speckle noise; statistical properties of noise in radar signals and images have been also investigated. Several models of spackle noise and its statistics have been considered. Using these models we have proposed formulas for the values of the thresholds that are used in filters based on one-dimensional and two-dimensional wavelet transforms. A comparison of the traditional Lee and Kuan filters to the wavelet-based filters has been carried out. Speckle noise removal on real radar images obtained with an airborne synthetic aperture radar have been performed as well. It has been found that wavelet-based filters allow removing speckle noise in a great extent while maintaining sharp edges and image elements in non-homogeneous regions. Product Description popup.authors popup.nrat_date 2020-04-02 Close