DocumentCode :
3094932
Title :
A Novel Adaptive Switching Median filter for laser image based on local salt and pepper noise density
Author :
Kang, Xiao ; Zhu, Wei ; Li, KeJie ; Jiang, Jing
Author_Institution :
Intell. Robot. Inst., Beijing Inst. of Technol., Beijing, China
Volume :
3
fYear :
2011
fDate :
8-9 Sept. 2011
Firstpage :
38
Lastpage :
41
Abstract :
Laser image often mixes with salt and pepper noise when obtained and transmitted by image sensor. The salt and pepper noise not only makes the quality of laser image deteriorated but also causes the detail feature of laser image flooded which contains very important structure information. To remove salt and pepper noise effectively meanwhile ensure image details clear and completed, a Novel Adaptive Switching Median (NASM) filter based on local salt and pepper noise density is presented in this paper. Pixel points are divided into salt and pepper noise points and signal points according to two level detection mechanisms firstly, then, local salt and pepper noise density is introduced here to determined filter window of every noise point, only noise points are filtered by different size window adaptively whereas signal points are kept unprocessed finally. Through analyzing of experimental results, it shows that NASM filter can remove salt and pepper noise effectively meanwhile protect image details well thus getting better filtering performance compared with Traditional Median (TM) filter and other improved Switching Median (SM) filters for laser image.
Keywords :
adaptive filters; image denoising; median filters; NASM filter; adaptive switching median filter; detection mechanism; laser image; pepper noise density; salt noise density; Digital filters; Filtering algorithms; Information filters; Laser noise; Switches; NASM filter; SM filter; laser image; local salt and pepper noise density; salt and pepper noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2011 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9691-4
Type :
conf
DOI :
10.1109/PEAM.2011.6135010
Filename :
6135010
Link To Document :
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