New advances in digital image processing

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Enhancement of noisy image data is a very challenging issue in many research and application areas. In the last few years, non-linear filters, feature extraction, high dynamic range imaging methods based on soft computing models have been shown to be very effective in removing noise without destroying the useful information contained in the image data. In this paper new image processing techniques are introduced in the above mentioned fields, thus contributing to the variety of advantageous possibilities to be applied. The main intentions of the presented algorithms are (1) to improve the quality of the image from the point of view of the aim of the processing, (2) to support the performance, and parallel with it (3) to decrease the complexity of further processing using the results of the image processing phase.

Original languageEnglish
Pages (from-to)283-304
Number of pages22
JournalMemetic Computing
Volume2
Issue number4
DOIs
Publication statusPublished - Dec 2010

Fingerprint

Digital Image Processing
Image processing
Soft computing
Image Processing
Processing
Range Imaging
Feature extraction
High Dynamic Range
Nonlinear Filters
Soft Computing
Imaging techniques
Feature Extraction
Enhancement
Decrease
Model

Keywords

  • Digital image processing
  • Feature extraction
  • Fuzzy logic
  • Information enhancement
  • Soft computing techniques

ASJC Scopus subject areas

  • Computer Science(all)
  • Control and Optimization

Cite this

New advances in digital image processing. / Várkonyi-Kóczy, A.

In: Memetic Computing, Vol. 2, No. 4, 12.2010, p. 283-304.

Research output: Contribution to journalArticle

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