Image to Fog Research Based on the Wavelet Noisereduction Measures

Proposed image to fog method based on wavelet noise reduction measure, by determining threshold value to achieve the aim of fog image wavelet noise reduction, image data information after the noise of background and target image segmentation, wavelet hierarchy to fog calculation, according to the different level objects to fog calculation according to the layer classification o f the important level, finally through the local and the overall texture details relevance computing will fog image restoration, completing the process of image to fog.Through the simulation experiment of image to fog algorithm based on wavelet measure reduction test, from the effect of noise reduction, to the time and speed of image to fog fog three aspects has carried on the comparison, the algorithm is superior to the traditional method, prove the effectiveness of the algorithm, and has more extensive application value.