INFORMATION TECHNOLOGY IMPROVING QUALITY OF BIOMEDICAL IMAGES

Authors

  • Serhii Volodymyrovych Pavlov Vinnitsa National Technical University, Khmelnytsky Highway 95, Vinnitsa, 21021
  • Dina Viktorivna Vovkotrub Vinnitsa National Technical University, Khmelnytsky Highway 95, Vinnitsa, 21021
  • Rostyslav Yuriiovych Dovhaliuk Vinnitsa National Technical University, Khmelnytsky Highway 95, Vinnitsa, 21021
  • Al-Zubi Khani Jordanian Technical University

Abstract

In current publication a review of methods for biomedical image visual quality improvement is presented. Reviewed in detail such spatial domain image processing methods as histogram equalization, gamma-correction, unsharp masking, median filtering, adaptive wiener filtering and Pewit, Sobel, Laplas linear filters. Some common noise models are described. Visual estimation of efficiency of previously mentioned methods is carried out.

Author Biographies

Serhii Volodymyrovych Pavlov, Vinnitsa National Technical University, Khmelnytsky Highway 95, Vinnitsa, 21021

d.t.s., professor, a head of department of Physics and photonics

Dina Viktorivna Vovkotrub, Vinnitsa National Technical University, Khmelnytsky Highway 95, Vinnitsa, 21021

graduate student of department of Physics and photonics

Rostyslav Yuriiovych Dovhaliuk, Vinnitsa National Technical University, Khmelnytsky Highway 95, Vinnitsa, 21021

student

Al-Zubi Khani, Jordanian Technical University

c.d.s.

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How to Cite

[1]
S. V. Pavlov, D. V. Vovkotrub, R. Y. Dovhaliuk, and A.-Z. Khani, “INFORMATION TECHNOLOGY IMPROVING QUALITY OF BIOMEDICAL IMAGES”, ІТКІ, vol. 21, no. 2, Oct. 2012.

Issue

Vol. 21 No. 2 (2011): Information Technology and Computer Engineering

Section

Information technology and coding theory

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