Article

Applying multiresolution methods to medical image enhancement

Authors:

Monica A. Trifas,

Oleg S. PianykhAuthors Info & Claims

ACMSE '06: Proceedings of the 44th annual ACM Southeast Conference

Pages 254 - 259

https://doi.org/10.1145/1185448.1185506

Published: 10 March 2006 Publication History

Abstract

Each image acquired from a medical imaging system is often part of a two-dimensional (2-D) image set whose total presents a three-dimensional (3-D) object for diagnosis. Unfortunately, sometimes these images are of poor quality. These distortions cause an inadequate object-of-interest presentation, which can result in inaccurate image analysis. Blurring is considered a serious problem. Therefore, "deblurring" an image to obtain better quality is an important issue in medical image processing.In our research, the image is initially decomposed. Contrast improvement is achieved by modifying the coefficients obtained from the decomposed image. Small coefficient values represent subtle details and are amplified to improve the visibility of the corresponding details. The stronger image density variations make a major contribution to the overall dynamic range, and have large coefficient values. These values can be reduced without much information loss.

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Cited By

Al-Ameen Z(2018)Sharpness Improvement for Medical Images Using a New Nimble Filter3D Research10.1007/s13319-018-0164-09:2(1-12)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1007/s13319-018-0164-0
Dash JBhoi N(2018)An Unsupervised Approach for Extraction of Blood Vessels from Fundus ImagesJournal of Digital Imaging10.1007/s10278-018-0059-x31:6(857-868)Online publication date: 26-Apr-2018
https://doi.org/10.1007/s10278-018-0059-x
Chuanbo CWeijun HLin W(2007)Direct Non-Symmetry and Anti-Packing Pattern Representation Model of Medical Images2007 1st International Conference on Bioinformatics and Biomedical Engineering10.1109/ICBBE.2007.262(1011-1018)Online publication date: Jul-2007
https://doi.org/10.1109/ICBBE.2007.262

Index Terms

Applying multiresolution methods to medical image enhancement
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Image manipulation

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Published In

cover image ACM Other conferences

ACMSE '06: Proceedings of the 44th annual ACM Southeast Conference

March 2006

823 pages

ISBN:1595933158

DOI:10.1145/1185448

General Chair:
Ronaldo Menezes
Florida Institute of Technology

Copyright © 2006 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 10 March 2006

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ACM SE06

ACM SE06: ACM Southeast Regional Conference

March 10 - 12, 2006

Florida, Melbourne

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ACMSE '06 Paper Acceptance Rate 100 of 244 submissions, 41%;

Overall Acceptance Rate 502 of 1,023 submissions, 49%

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Cited By

Al-Ameen Z(2018)Sharpness Improvement for Medical Images Using a New Nimble Filter3D Research10.1007/s13319-018-0164-09:2(1-12)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1007/s13319-018-0164-0
Dash JBhoi N(2018)An Unsupervised Approach for Extraction of Blood Vessels from Fundus ImagesJournal of Digital Imaging10.1007/s10278-018-0059-x31:6(857-868)Online publication date: 26-Apr-2018
https://doi.org/10.1007/s10278-018-0059-x
Chuanbo CWeijun HLin W(2007)Direct Non-Symmetry and Anti-Packing Pattern Representation Model of Medical Images2007 1st International Conference on Bioinformatics and Biomedical Engineering10.1109/ICBBE.2007.262(1011-1018)Online publication date: Jul-2007
https://doi.org/10.1109/ICBBE.2007.262

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