Saturation-Based Multi-Exposure Image Fusion Employing Local Color Correction
| Autor: | Eiji Uchino, Daiki Moriyama, Noriaki Suetake, Hideaki Misawa, Yoshiaki Ueda |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Lightness
Brightness Image fusion genetic structures Computer science business.industry Dynamic range 02 engineering and technology Image (mathematics) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence Saturation (chemistry) business Hue |
| Zdroj: | ICIP |
| DOI: | 10.1109/icip.2019.8803693 |
| Popis: | The dynamic range of human light perception for natural scenes is wider than the dynamic ranges of cameras. When an image of a natural scene is taken by a camera, the image may contain under-exposed or over-exposed regions. A remedy for this problem is to fuse multi-exposure images which are taken by the camera at different exposure levels. Since most fusion methods use a weighted average of multi-exposure images, the appropriate calculation of its weights is important. In this paper, we propose a method for fusing multi-exposure images which are newly generated by a light conversion with preserving hue and saturation. In the proposed method, the lightness conversion is based on local color correction (LCC) and a fused image is obtained by a weighted average whose weights are calculated based on saturation. The proposed method is applied to several images and the effectiveness of the proposed method is investigated. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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