New Method For Suppressing Speckle Noise And Its Performance Evaluation

Aperture Radar Synthetic(SAR) is a newly emerging discipline which has been widely used in the field of civil and military fields. However, SAR imaging system has inherent defects, it can produce random speckle noise, which seriously affect the quality of the image, and it is very important to study the suppression of speckle noise.In this thesis, the principle and characteristics of PSLIP model are analyzed. According to the characteristics of speckle noise, the image processing model is applied to image filtering. In the existing log image processing model, a new method is proposed to suppress speckle noise. The proposed method is based on PSLIP model, and the proposed method can be used to suppress speckle noise. For the high brightness region, the high wave motion of the PSLIP model is first used to filter out the speckle noise, and then use the flexible morphological closing operation to fill the small hole of the noise image to smooth the edge of the image. For the low luminance region, the noise image is obtained by using the flexible morphological opening and closing operation to enhance the edge of the speckle noise. Experimental results show the effectiveness of this method.Taking into account the problem of parameter selection in PSLIP model, this thesis also studies the basis of speckle noise evaluation method and the parameters of PSLIP model under the condition of filter, and then obtains the parameters of different parameters.