A study on 2D signal noise reduction method for wavelet analysis

A 2D signal is often used as an image signal in the application of a digital image, which could produce noise in the processing of image acquisition. It is too rough of a traditional method to be used for noise suppression; regarding noise suppression, it will also lose part of the original signal so that makes the image blurred. This paper introduces image reduction based on the wavelet analysis method, compares the effects of three methods: the inhibition of detail coefficients, the global threshold and distinction of the direction of threshold. We used Matlab software to simulate, and then choose the distinguishing different direction of threshold method to satisfy the requirements of the smoothness and similarity.