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...
Main Authors: | , , , |
---|---|
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 Öktem Hakan Egiazarian Karen |
author_facet | Niittylahti Jarkko Lemmetti Juha Öktem 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 JuhaÖktem 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 Öktem 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 |