An improved enhancement self-daptive algorithm for X-ray digital image based on wavelet decomposition

Author

Hou, Qing ; Li, Wei

Author_Institution

Modern Educ. Technol. & Network Center, Shaanxi Univ. of Chinese Med., Xianyang, China

Volume

3

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

1041

Lastpage

1044

Abstract

This thesis presents an improved enhancement self-adaptive algorithm based on wavelet decomposition. X-ray digital image are processed by wavelet transformation and reconstruction. Low frequency coefficient fusion can achieve the best fusion effects with less decomposition layers. High frequency coefficient fusion can keep the detail factors of original clear image. All the lab testing results and indicates that the image dynamic ranges are widened and the image contrast level improved highly in the meanwhile.

Keywords

X-ray imaging; image reconstruction; wavelet transforms; X-ray digital image; enhancement self-adaptive algorithm; image dynamic ranges; less decomposition layers; low frequency coefficient fusion; self adaptive algorithm; wavelet decomposition; wavelet reconstruction; wavelet transformation; Bandwidth; Digital images; Dynamic range; Image fusion; Matrix decomposition; Wavelet transforms; X-ray imaging; dynamic range histogram equalization; image fusion; wavelet decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2010 3rd International Congress on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6513-2

Type

conf

DOI

10.1109/CISP.2010.5646934

Filename

5646934