In order to effectively reduce the speckle noise of SAR image without blurring the useful information, this paper carry out a new way to use better WaveShrink function and better way to use edge information. Our proposed way mainly includes two steps: (1) Getting the SAR images edge information by using wavelet; (2) Using the 1-Dimension Garrote WaveShrink technique based on the edge information to reduce the speckle noise. By using the one-order derivative of Gaussian function and setting a proper dilation scale factor we can detect the edge without the noise. By introducing the Hysteresis threshold technique used by Canny we can let the edge has better connectivity. We using a group of Donoho signal with additive noise to prove the Garrote WaveShrink has better performance than the soft and hard function. In this paper, we use the 1-Dimension WaveShrink technique, so we can more easy to choose the threshold than use 2-Dimension technique. At the end of this paper the comparisons of the proposed way with the 2-Dimension WaveShrink way and the classical Lee filter show very good results.