New Hybrid Algorithm of Gaussian Noise Based on Image Enhancement
YU Guanghu · Video Engineering · 2013
In order to filter the Gaussian noise effectively in digital image,combing with image filtering algorithm and enhancement technique,a new hybrid filtering algorithm based on image enhancement is put forward.Firstly,according to the defect of classical median filter cannot deal with the Gaussian noise,the filter template of the median filter are improved to remove the Gaussian noise with multi-angle,multistage tandem filtering,so as to eliminate the influence of part of the Gaussian noise.Secondly,the average filter is introduced to the wavelet domain,the residual noise in the image is removed step by step with the wavelet domain average filter.Then,a new wavelet domain enhancement function is raised,setting the threshold to divide the filtering image into several areas,so as to do enhancement processing with different degrees with these areas.Finally,quantitative analysis is done with the different intensity Gaussian noise between the factor values of the enhancement function,the function expression between them is given.The experiment results show that the filtering algorithm in this paper has the better filtering effect of the high strength Gaussian noise,and has some certain degree of adaptability.