A Weighted Histogram-Based Tone Mapping Algorithm for CT Images

Algorithms. 2018;11(8):111 DOI 10.3390/a11080111

 

Journal Homepage

Journal Title: Algorithms

ISSN: 1999-4893 (Online)

Publisher: MDPI AG

LCC Subject Category: Technology: Technology (General): Industrial engineering. Management engineering | Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Country of publisher: Switzerland

Language of fulltext: English

Full-text formats available: PDF, HTML, XML

 

AUTHORS

David Völgyes (Department of Computer Science, Norwegian University of Science and Technology, 2815 Gjøvik, Norway)
Anne Catrine Trægde Martinsen (Department of Physics, University of Oslo, 0316 Oslo, Norway)
Arne Stray-Pedersen (Department of Forensic Sciences, Oslo University Hospital, 0424 Oslo, Norway)
Dag Waaler (Department of Health Sciences in Gjøvik, Norwegian University of Science and Technology, 2803 Gjøvik, Norway)
Marius Pedersen (Department of Computer Science, Norwegian University of Science and Technology, 2815 Gjøvik, Norway)

EDITORIAL INFORMATION

Blind peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 11 weeks

 

Abstract | Full Text

Computed Tomography (CT) images have a high dynamic range, which makes visualization challenging. Histogram equalization methods either use spatially invariant weights or limited kernel size due to the complexity of pairwise contribution calculation. We present a weighted histogram equalization-based tone mapping algorithm which utilizes Fast Fourier Transform for distance-dependent contribution calculation and distance-based weights. The weights follow power-law without distance-based cut-off. The resulting images have good local contrast without noticeable artefacts. The results are compared to eight popular tone mapping operators.