A Weighted Histogram-Based Tone Mapping Algorithm for CT Images

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-base...

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Bibliographic Details
Published in:Algorithms 2018-08, Vol.11 (8), p.111
Main Authors: Völgyes, David, Martinsen, Anne, Stray-Pedersen, Arne, Waaler, Dag, Pedersen, Marius
Format: Article
Language:English
Subjects:
Adaptation
Algorithms
Computed tomography
Equalization
Fast Fourier transformations
histogram equalization
Histograms
Image contrast
Mapping
Mathematical analysis
Medical imaging
Methods
Operators (mathematics)
Tomography
tone mapping
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Summary: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.
ISSN:1999-4893
1999-4893
DOI:10.3390/a11080111