No abstract

Edge is the most important feature of an image. It contains much of information of an image. In addition, edge detection has a significant influence on the performance of image analysis and comprehension. In order to study the edge detection algorithm on the edge of the location and antinoise capability, we selected Log operator, Canny operator and wavelet transform edge detection algorithm to detect image edge by using Matlab software. Simulation results show that, three edge detection operators possessed different capacity in the edge location and suppress noise. Wavelet transform can provide the edge information of different scales. The experimental result shows that, since wavelet transform have a multi-scale feature and localization characteristic, it can accurately detect the edge points, In the meantime ,it can overcome preferably noisesensitive problems which arise from Log operator and Canny operator .

This paper studies Synthetic Aperture Radar (SAR) images with the wavelets transform of lifting scheme, presents a new denoising method of wavelets analytic to reduce the coherent speckle noise . A lot of experiments approve that this new method not only suppresses the speckle noise effectively , but also preserves as many target characteristics of original images as possible . It shows that this denoising method offers a very attractive alternative to suppress the coherent speckle noise of the SAR images .