A salt & pepper noise fast filtering algorithm for grayscale images based on neighborhood correlation detection

Author

Fu, Bo ; Yang, Kecheng ; Li, Wei ; Fan, Fan

Author_Institution

Sch. of Optoelectron. Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

2010

fDate

9-11 April 2010

Firstpage

93

Lastpage

96

Abstract

A salt & pepper noise fast filtering algorithm for grayscale images based on neighborhood correlation detection is presented. By utilizing a 4×4 pixel template, the algorithm can discriminate and filter various patterns of salt & pepper noise spots or blocks within 2×2 pixel size range. In contrast with many kinds of median filtering algorithm, which may cause image blurring, it has much higher edge-preserving ability. Furthermore, this algorithm is able to synchronously reflect image quality via amount, location and density statistics of salt & pepper noise spots and make good sense to guide parameter selection for imaging systems.

Keywords

filtering theory; image restoration; interference suppression; noise; density statistics; grayscale images; image blurring; image quality; median filtering algorithm; neighborhood correlation detection; parameter selection; pepper noise fast filtering algorithm; pixel template; salt noise fast filtering algorithm; Adaptive filters; Filtering algorithms; Gray-scale; Image edge detection; Image quality; Laboratories; Noise generators; Sensor phenomena and characterization; Signal generators; Statistics; edge-preserving; neighborhood correlation; salt & pepper noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Signal Processing (IASP), 2010 International Conference on

Conference_Location

Zhejiang

Print_ISBN

978-1-4244-5554-6

Electronic_ISBN

978-1-4244-5556-0

Type

conf

DOI

10.1109/IASP.2010.5476154

Filename

5476154