By Topic

Approach on digital radiographs enhancement based on wavelet transform

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yuanyuan Hou ; Sch. of Biomed. Eng., Capital Med. Univ., Beijing, China ; Ping Zhou

Digital radiographs play very important role in medical imaging. However, the image quality has weakness with lower contrast and some noises owing to various reasons. So it is necessary to enhance these images to facilitate the postprocessing or diagnosis. In this paper, our method utilized wavelet transform to decompose the image, removed the noise using wavelet threshold method, and modified the high coefficients using nonlinear method and the low coefficient using the unsharp masking method. At last, the enhanced image got through inverse wavelet transform. At the same time, we also analyzed the characteristics of several common wavelet bases. Experiments were carried out on a digital radiograph with some different wavelet bases and some other traditional approaches. The results showed that this method had better enhancing effect than traditional approaches.

Published in:

Image and Signal Processing (CISP), 2010 3rd International Congress on  (Volume:2 )

Date of Conference:

16-18 Oct. 2010