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Learning-based tone mapping operator for efficient image matching

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Academic year: 2021

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Fig. 1: Optimal Tone Mapping Design. The tone mapping function is modulated by the SVR-based guidance model, which predicts optimal parameter maps using the characteristic features.
Fig. 2: Generation of Training Set. Ground-truth parameter maps are generated by minimizing the total energy determined from a set of images of the same scene, undergoing lighting variations, using the procedure in Section III-B.
Fig. 4: Repeatability Rates (RR) computed for OpTMO using a corner (Harris) and a blob (SURF) keypoint detector.
Fig. 5: Keypoint Detection I: Average Repeatability Rates (AvgRR) computed on different TMOs using various keypoint detection schemes.
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