Application of Wedgelet Transform for Image Process

Author

Gao, Jian-bin ; Li, Jian-ping ; Xia, Qi

Author_Institution

Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu

fYear

2008

fDate

13-15 Dec. 2008

Firstpage

220

Lastpage

222

Abstract

Wavelets transform have been extended to image process and achieve a lot of good results in the field. However, it is of congenital defects. So many new methods are generated based on it. Wedgelet transform is a better method among them. Wedgelet transform is a kind of multi-resolution method which can represent anisotropy of image. We induce the theory of wedgelet transform, in this paper, and apply the theory to image enhancement. The experimental results show that the wedgelet is more suitable to represent the linear feature than wavelets.

Keywords

image enhancement; image resolution; wavelet transforms; image anisotropy; image enhancement; image processing; multiresolution method; wavelet transform; wedgelet transform; Anisotropic magnetoresistance; Application software; Computer science; Image analysis; Image coding; Image enhancement; Signal processing; Wavelet analysis; Wavelet domain; Wavelet transforms; Wedgelet transform; image enhancement; multi-resolution analysis; wavelets transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-3427-5

Electronic_ISBN

978-1-4244-3426-8

Type

conf

DOI

10.1109/ICACIA.2008.4770009

Filename

4770009