A New Anisotropic Method For Speckle Reducing

Author

Lu, Bibo ; Sun, Junling ; Zang, Junchao

Author_Institution

Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China

fYear

2009

fDate

18-20 Jan. 2009

Firstpage

1

Lastpage

4

Abstract

Speckle noise is a common undesired phenomena in all coherent imaging systems and it affects the tasks of human interpretation and automated image analysis. This paper presents a novel anisotropic method for speckle reducing. A constrained optimal problem is considered to minimize total variation of speckle image. By using dynamical scheme, we obtain a new anisotropic diffusion filter. Compared to the related approaches, the proposed method can preserve edges and protect more fine details. Results on real speckle images are given. We have also compared our method with some related methods.

Keywords

filtering theory; image processing; speckle; anisotropic diffusion filter; anisotropic method; automated image analysis; coherent imaging systems; constrained optimal problem; human interpretation; speckle noise; speckle reduction; Anisotropic magnetoresistance; Computer science; Filtering; Humans; Image edge detection; Noise reduction; Nonlinear filters; Speckle; Ultrasonic imaging; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5272-9

Type

conf

DOI

10.1109/CNMT.2009.5374576

Filename

5374576