Literature DB >> 11313724

Radiographic digital image enhancement. Part II: transform domain techniques.

M Analoui1.   

Abstract

Digital image enhancement techniques can have a significant impact on the diagnostic quality of a radiographic image. Selection of an image enhancement technique is a function of image content and its attributes of interest. The diagnostic value of a radiographic image is commonly reduced by its intrinsic limitations as well as interference from unwanted signals. In this second article on radiographic image enhancement the Fourier transform, the most commonly used transformation method, is used to examine examples of methods for image enhancement, with particular emphasis on the removal or reduction of noise.

Mesh:

Year:  2001        PMID: 11313724     DOI: 10.1038/sj/dmfr/4600563

Source DB:  PubMed          Journal:  Dentomaxillofac Radiol        ISSN: 0250-832X            Impact factor:   2.419


  4 in total

1.  The modulation transfer function and signal-to-noise ratio of different digital filters: a technical approach.

Authors:  D D Brüllmann; B d'Hoedt
Journal:  Dentomaxillofac Radiol       Date:  2011-05       Impact factor: 2.419

2.  Length of endodontic files measured in digital radiographs with and without noise-suppression filters: an ex-vivo study.

Authors:  D D Brüllmann; B Röhrig; S L Sulayman; R Schulze
Journal:  Dentomaxillofac Radiol       Date:  2011-03       Impact factor: 2.419

3.  A mathematical model relating changes of grey values to changes of thicknesses of a stepwedge.

Authors:  H Geha; B Bechara; T Faddoul; M Noujeim
Journal:  Dentomaxillofac Radiol       Date:  2012-07-27       Impact factor: 2.419

4.  Evaluation of a Mathematical Model for Digital Image Enhancement.

Authors:  Hassem Geha; Ibrahim Nasseh; Marcel Noujeim
Journal:  Open Dent J       Date:  2015-07-31
  4 in total

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