Title :
An Adaptive Layered Median Filter Algorithm
Author :
Zhou Zehua ; Huang Hui
Author_Institution :
Dept. of Electron. & Electr. Eng., Hefei Univ., Hefei, China
Abstract :
As image noise has an effect upon the consequent results of image, it is necessary to denoise image before the following pretreatment. In order to overcome the disadvantages of traditional median filtering algorithm, an adaptive layered median filtering algorithm was proposed in this paper. To begin with the algorithm adopted the concept of block division to discriminate and demarcate salt & pepper noise, which can be filtered out by the application of adaptive layered median filtering algorithm. The experiment results demonstrated that this technique was workable as it can protect image details effectively when reducing the noises.
Keywords :
adaptive filters; image denoising; median filters; adaptive layered median filter; block division; image denoising; salt & pepper noise; Adaptive filters; Filtering algorithms; Maximum likelihood detection; Noise; Nonlinear filters; Signal processing algorithms; adaptive layered median filter; median filter; noise detection; salt&pepper noise;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.143