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Erschienen in:
Sensor-Fusion-Based Trajectory Reconstruction for Quadrotor Drones Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

Flash, Storm, and Mistral: Hardware-Friendly and High Quality Tone Mapping

verfasst von : Nikola Banić, Sven Lončarić

Erschienen in: Computer Vision, Imaging and Computer Graphics Theory and Applications

Verlag: Springer International Publishing

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Abstract

While high dynamic range (HDR) images are being used ever more widely, the majority of display devices are able to properly handle only low dynamic range (LDR) images. Tone mapping operators (TMOs) solve this problem by compressing the dynamic range of HDR images so that they can be displayed as LDR images. The problem with many state-of-the-art TMOs is that despite giving high quality results they are often too complex to be used for simple hardware implementations. In this paper several new TMOs formed around the perceptually based Naka-Rushton equation are proposed with the main goal being hardware-friendliness. The proposed TMOs are of gradually increasing complexity, which allows choosing the most appropriate trade-off between quality and complexity, and all of them are designed to have O(1) per-pixel complexity. The results are presented and discussed and it is shown that the proposed TMOs outperform most well-known publicly available TMOs in terms of quality and speed. The source codes of the proposed TMOs written in C++, Matlab, Python, Java, and HTML+JavaScript are available at http://​www.​fer.​unizg.​hr/​ipg/​resources/​color_​constancy/​.

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Vorheriges Kapitel Pedestrian Detection and Trajectory Estimation in the Compressed Domain Using Thermal Images
Nächstes Kapitel A Simple and Exact Algorithm to Solve Linear Problems with -Based Regularizers
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Metadaten
Titel
Flash, Storm, and Mistral: Hardware-Friendly and High Quality Tone Mapping
verfasst von
Nikola Banić
Sven Lončarić
Copyright-Jahr
2019
Buch
Computer Vision, Imaging and Computer Graphics Theory and Applications

Print ISBN: 978-3-030-26755-1

Electronic ISBN: 978-3-030-26756-8

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-26756-8_11