Bilateral Histogram Equalization for X-Ray Image Tone Mapping

Madmad, Tahani;De Vleeschouwer, Christophe
(2019) 2019 IEEE International Conference on Image Processing (ICIP) — Location: Taipei, Taiwan (22.September.2019)

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This paper introduces a novel tone mapping operator, designed to offer a good rendering of the local structures. The new operator fusions the multiple versions of a single HDR input obtained by clipping and normalizing its intensity based on a complete set of disjoint intervals. Defining the weight map associated to each version to be its clipping interval indicator function promotes contrast enhancement, but induces artifacts when neighboring pixels belong to distinct intervals. We thus propose to smooth out the indicators across neighboring pixels with similar intensity, using a standard cross-bilateral filter. With such weight maps, the fusion operator becomes equivalent to applying histogram equalization on the image regions on which the cross-bilateral filter diffuses the indicators, and is therefore referred to as Bilateral Histogram Equalization (BHE) operator. It compares favorably to previous tone mapping algorithms.
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Madmad, T., & De Vleeschouwer, C. (2019). Bilateral Histogram Equalization for X-Ray Image Tone Mapping. 2019 IEEE International Conference on Image Processing (ICIP). Published. 2019 IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan. https://doi.org/10.1109/icip.2019.8803516