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.