An Approach to Adaptive Enhancement of Diagnostic X-Ray Images

<p/> <p>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...

Full description

Bibliographic Details
Main Authors: Niittylahti Jarkko, Lemmetti Juha, &#214;ktem Hakan, Egiazarian Karen
Format: Article
Language:English
Published: SpringerOpen 2003-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://dx.doi.org/10.1155/S1110865703211069
_version_ 1819081122213003264
author Niittylahti Jarkko
Lemmetti Juha
&#214;ktem Hakan
Egiazarian Karen
author_facet Niittylahti Jarkko
Lemmetti Juha
&#214;ktem Hakan
Egiazarian Karen
author_sort Niittylahti Jarkko
collection DOAJ
description <p/> <p>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.</p>
first_indexed 2024-12-21T19:55:45Z
format Article
id doaj.art-7d2005f584de4acfb6fe4b666d142e7d
institution Directory Open Access Journal
issn 1687-6172
1687-6180
language English
last_indexed 2024-12-21T19:55:45Z
publishDate 2003-01-01
publisher SpringerOpen
record_format Article
series EURASIP Journal on Advances in Signal Processing
spelling doaj.art-7d2005f584de4acfb6fe4b666d142e7d2022-12-21T18:52:06ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802003-01-0120035635640An Approach to Adaptive Enhancement of Diagnostic X-Ray ImagesNiittylahti JarkkoLemmetti Juha&#214;ktem HakanEgiazarian Karen<p/> <p>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.</p>http://dx.doi.org/10.1155/S1110865703211069image enhancementX-ray imageswavelet shrinkage
spellingShingle Niittylahti Jarkko
Lemmetti Juha
&#214;ktem Hakan
Egiazarian Karen
An Approach to Adaptive Enhancement of Diagnostic X-Ray Images
EURASIP Journal on Advances in Signal Processing
image enhancement
X-ray images
wavelet shrinkage
title An Approach to Adaptive Enhancement of Diagnostic X-Ray Images
title_full An Approach to Adaptive Enhancement of Diagnostic X-Ray Images
title_fullStr An Approach to Adaptive Enhancement of Diagnostic X-Ray Images
title_full_unstemmed An Approach to Adaptive Enhancement of Diagnostic X-Ray Images
title_short An Approach to Adaptive Enhancement of Diagnostic X-Ray Images
title_sort approach to adaptive enhancement of diagnostic x ray images
topic image enhancement
X-ray images
wavelet shrinkage
url http://dx.doi.org/10.1155/S1110865703211069
work_keys_str_mv AT niittylahtijarkko anapproachtoadaptiveenhancementofdiagnosticxrayimages
AT lemmettijuha anapproachtoadaptiveenhancementofdiagnosticxrayimages
AT 214ktemhakan anapproachtoadaptiveenhancementofdiagnosticxrayimages
AT egiazariankaren anapproachtoadaptiveenhancementofdiagnosticxrayimages
AT niittylahtijarkko approachtoadaptiveenhancementofdiagnosticxrayimages
AT lemmettijuha approachtoadaptiveenhancementofdiagnosticxrayimages
AT 214ktemhakan approachtoadaptiveenhancementofdiagnosticxrayimages
AT egiazariankaren approachtoadaptiveenhancementofdiagnosticxrayimages