Nonsubsampled Pyramid Based Adaptive Anisotropic Diffusion Filtering for Infrared Image Denoising

Author

Ni, Chao ; Xia, Liang-Zheng

Author_Institution

Sch. of Mech. & Electron. Eng., Nanjing Forestry Univ., Nanjing, China

fYear

2010

fDate

23-25 Sept. 2010

Firstpage

1

Lastpage

4

Abstract

According to the characteristics of infrared image, a method of nonsubsampled pyramid based adaptive anisotropic diffusion filtering for infrared image denoising is proposed. First, nonsubsampled pyramid is used to decompose noisy image into lowpass subband and multi-scale bandpass subbands. Adaptive anisotropic diffusion filtering is performed in all bandpass nonsubsampled pyramid layer aiming at preserving the edges and details when reducing noise. Experiments show that the method can effectively realize denoising and edge preserving of infrared image.

Keywords

adaptive filters; band-pass filters; image denoising; infrared imaging; low-pass filters; adaptive anisotropic diffusion filtering; infrared image denoising; lowpass subband; multiscale bandpass subband; noisy image; nonsubsampled pyramid; Anisotropic magnetoresistance; Filtering; Image edge detection; Noise; Noise reduction; Nonhomogeneous media; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-3708-5

Electronic_ISBN

978-1-4244-3709-2

Type

conf

DOI

10.1109/WICOM.2010.5600574

Filename

5600574