Title :
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
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;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5646934
