A Weighted Histogram-Based Tone Mapping Algorithm for CT Images

@article{Vlgyes2018AWH,
  title={A Weighted Histogram-Based Tone Mapping Algorithm for CT Images},
  author={D. V{\"o}lgyes and A. C. Martinsen and A. Stray-Pedersen and D. Waaler and Marius Pedersen},
  journal={Algorithms},
  year={2018},
  volume={11},
  pages={111}
}
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… Expand
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References

SHOWING 1-10 OF 49 REFERENCES
Histogram equalization of CT images.
TLDR
In several clinical images, the use of a spatially variable histogram equalization technique limited to that portion of the CT image occupied by the patient did appear to increase the visibility of anatomic structures, but using the technique also increased displayed image noise and artifacts. Expand
Chest CT window settings with multiscale adaptive histogram equalization: pilot study.
TLDR
Diagnostic accuracy was insufficient in this pilot study to allow recommendation of MAHE as a replacement for conventional window display. Expand
A biologically-based algorithm for companding computerized tomography (CT) images
TLDR
The BACCT (Biologically-based Algorithm for Companding CT images) method compresses and expands the HDR CT image into a single, low dynamic range image, and compands the CT images in a fully automatic way. Expand
Objective Quality Assessment of Tone-Mapped Images
TLDR
An objective quality assessment algorithm for tone-mapped images is proposed by combining: 1) a multiscale signal fidelity measure on the basis of a modified structural similarity index and 2) a naturalness measure onThe basis of intensity statistics of natural images. Expand
Computed tomography : fundamentals, system technology, image quality, applications
System concepts System components Image reconstruction Spiral CT Multi-slice spiral CT Cone-beam CT Dynamic CT Quantitative CT Dual source CT Dual energy CT Flat detector CT Micro CT Image qualityExpand
Adaptive Logarithmic Mapping For Displaying High Contrast Scenes
TLDR
A fast, high quality tone mapping technique to display high contrast images on devices with limited dynamic range of luminance values and taking into account user preference concerning brightness, contrast compression, and detail reproduction is proposed. Expand
Adaptive windowing for optimal visualization of medical images based on normalized information distance
  • N. Nikvand, H. Yeganeh, Zhou Wang
  • Computer Science, Mathematics
  • 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2014
TLDR
By approximating NID using a Shannon entropy based method, this work is able to optimize parametric windowing operators to maximize the information similarity between the HDR image and the LDR image after mapping. Expand
Artifacts in CT: recognition and avoidance.
  • Julia F. Barrett, N. Keat
  • Physics, Medicine
  • Radiographics : a review publication of the Radiological Society of North America, Inc
  • 2004
TLDR
To optimize image quality, it is necessary to understand why artifacts occur and how they can be prevented or suppressed, and how design features incorporated into modern CT scanners minimize some types of artifacts. Expand
Contrast enhancement using brightness preserving bi-histogram equalization
TLDR
It is shown mathematically that the proposed algorithm preserves the mean brightness of a given image significantly well compared to typical histogram equalization while enhancing the contrast and, thus, provides a natural enhancement that can be utilized in consumer electronic products. Expand
Tone mapping via edge-preserving total variation model
  • Zongwei Zhang, Zhuo Su
  • Mathematics
  • 2012 5th International Congress on Image and Signal Processing
  • 2012
The purpose of tone mapping is making a high dynamic range image to be a low dynamic range image and to be displayed in the traditional monitors. Specifically, while a high dynamic range image isExpand
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