Research on Wavelet Denoising Algorithm Based on Improved Threshold Function

With the rapid growth of communication signal field and the increasing popularity of electronic goods, the dissemination of information has become more and more vital, and image, as one of the carriers of information acquisition and propagation process, have also become very significant However various noises will appear in an image in the actual application and propagation process, so the denoising of the image is an indispensable operation. In order to obtain a better noise free image, an improved threshold function is raised to ameliorate the deficiency of hard threshold and soft threshold functions. According to the simulation results, the signal-to-noise ratio (SNIP) and the mean square error (MSE) were calculated for comparative analysis. The simulation results show that the improved threshold function has good optimization compared with the traditional threshold function.