A study on 2D signal noise reduction method for wavelet analysis

Author

Xi, Ziqiang ; Fu, Zhongjia ; Qi, Lei ; Wang, Sha

Author_Institution

Sch. of Electr. & Electron., Hubei Univ. of Technol., Wuhan, China

fYear

2011

fDate

21-23 Oct. 2011

Firstpage

248

Lastpage

251

Abstract

A 2D signal is often used as an image signal in the application of a digital image, which could produce noise in the processing of image acquisition. It is too rough of a traditional method to be used for noise suppression; regarding noise suppression, it will also lose part of the original signal so that makes the image blurred. This paper introduces image reduction based on the wavelet analysis method, compares the effects of three methods: the inhibition of detail coefficients, the global threshold and distinction of the direction of threshold. We used Matlab software to simulate, and then choose the distinguishing different direction of threshold method to satisfy the requirements of the smoothness and similarity.

Keywords

image denoising; image segmentation; wavelet transforms; 2D signal noise reduction; digital image; global threshold; image acquisition; image reduction; noise suppression; wavelet analysis; Filtering; Image reconstruction; Mathematical model; Noise; Noise reduction; Wavelet analysis; Wavelet transforms; image denoising; threshold; wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Signal Processing (IASP), 2011 International Conference on

Conference_Location

Hubei

Print_ISBN

978-1-61284-879-2

Type

conf

DOI

10.1109/IASP.2011.6109040

Filename

6109040