期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：3
DOI：10.15680/ijircce.2015.0303019
出版社：S&S Publications
摘要：In the past two decades, many speckle reduction techniques have been developed for removing speckleand retaining edge details in Synthetic Aperture Radar(SAR) images. Most of the standard algorithms use a definedfilter window to estimate the local noise variance of a speckle image and perform the individual unique filteringprocess.The primary goal of speckle reduction is to remove the speckle without losing much detail contained in animage. To achieve this goal, we make use of a mathematical function known as the wavelet transform and apply multiresolutionanalysis to localize an image into different frequency components or useful sub-bands and effectively reducethe speckle in the sub-bands according to the local statistics within the bands. The main advantage of the wavelettransform is that the image fidelity after reconstruction is visually lossless.In this project, we will study and investigatethe application of using the Daubechies wavelet with denoising techniques to remove speckle in SAR images. Wecombine the wavelet shrinkage denoising techniques with different wavelet basis and decomposition levels on theindividual sub-bands to achieve the best acceptable speckle reduction while maintaining the fidelity of the image. Theanalysis of the statistical results will be calculated using matlab to demonstrate the advantages and disadvantages ofusing complex wavelet shrinking techniques over standard speckle filters
