A New Multi-direction Adaptive Weighted Pseudo Median Filtering Algorithm Based on Wavelet Domain
Zheng Ming-ya · Infrared Technology · 2014
In order to filter the noise in infrared image,a multi-direction adaptive weighted pseudo median filtering algorithm is proposed based on wavelet transform.Firstly,the salt pepper noise image is conducted by wavelet transform,and the high-frequency sub-images and low-frequency sub-image are obtained.The noise distribution areas of the high-frequency sub-images are detected and labeled effectively.Then,according to the characteristics of the ground objects and the features of the directionality of the high frequency wavelet decomposition sub-images,four kinds of directional filtering templates are respectively designed so as to deal with the noise through adaptive weighted filtering.Finally,low-frequency sub-image and high-frequency sub-images are reconstructed.The median filtering(MF),pseudo median filtering(PMF),extreme median filtering(EMF),weighted median filtering(WMF) and the algorithm in this paper are used to filter the salt pepper noise in standard test image and infrared image.Peak signal to noise ratio(PSNR) and mean absolute error(MAE)are adopted to evaluate the performance of above filtering algorithms.The experimental results show that the performance of the algorithm in this paper is better than the others.