Open Access

An Approach to Adaptive Enhancement of Diagnostic X-Ray Images

  • Hakan Öktem1Email author,
  • Karen Egiazarian1,
  • Jarkko Niittylahti2 and
  • Juha Lemmetti2
EURASIP Journal on Advances in Signal Processing20032003:635640

DOI: 10.1155/S1110865703211069

Received: 31 January 2002

Published: 14 April 2003

Abstract

Digital radiography is a popular diagnostic imaging method. Denoising and enhancement have an important potential in obtaining as much easily interpretable diagnostic information as possible with reasonable absorbed doses of ionising radiation. Due to the increasing usage of high resolution and high precision images with a limited number of human experts, the computational efficiency of the denoising and enhancement becomes important. In this paper, a local adaptive image enhancement and simultaneous denoising algorithm for fulfilling the requirements of digital X-ray image enhancement is introduced. The algorithm is based on modification of the wavelet transform coefficients by a pointwise nonlinear transformation and reconstructing the enhanced image from the modified wavelet transform coefficients. The implementation of algorithm in software is simple, quick, and universal.

Keywords and phrases

image enhancement X-ray images wavelet shrinkage

Authors’ Affiliations

(1)
Institute of Signal Processing, Tampere University of Technology
(2)
Atostek Ltd.

Copyright

© Copyright © 2003 Hindawi Publishing Corporation 2003