A Weighted Histogram-Based Tone Mapping Algorithm for CT Images
AbstractComputed 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. View Full-Text
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Völgyes, D.; Martinsen, A.C.T.; Stray-Pedersen, A.; Waaler, D.; Pedersen, M. A Weighted Histogram-Based Tone Mapping Algorithm for CT Images. Algorithms 2018, 11, 111.
Völgyes D, Martinsen ACT, Stray-Pedersen A, Waaler D, Pedersen M. A Weighted Histogram-Based Tone Mapping Algorithm for CT Images. Algorithms. 2018; 11(8):111.Chicago/Turabian Style
Völgyes, David; Martinsen, Anne C.T.; Stray-Pedersen, Arne; Waaler, Dag; Pedersen, Marius. 2018. "A Weighted Histogram-Based Tone Mapping Algorithm for CT Images." Algorithms 11, no. 8: 111.
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