Francesco Banterle
Paolo Banterle
ABSTRACT
Automatic exposure (AE) is a common method implemented in consumer cameras to calculate the best exposure that tries to minimize under and over exposed pixels for a scene. We present a generalized framework for an AE algorithm for high dynamic range (HDR) imaging inspired by tone mapping operators (TMO) and pointing devices. Compared to other methods such as [Neumann et al. 1998] we propose a more general framework and an approach that enables exploring images and videos in different areas of the image/frame.
- Akyüz, A. O., Fleming, R., Riecke, B. E., Reinhard, E., and Bülthoff, H. H. 2007. Do hdr displays support ldr content?: a psychophysical evaluation. ACM Trans. Graph. 26, 3, 38. Google Scholar
Digital Library
- Banterle, F., Ledda, P., Debattista, K., and Chalmers, A. 2006. Inverse tone mapping. In GRAPHITE '06: Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia, ACM, New York, NY, USA, 349--356. Google ScholarDigital Library
- Neumann, L., Matkovic, K., and Purgathofer, W. 1998. Automatic exposure in computer graphics based on the minimum information loss principle. In CGI '98: Proceedings of the Computer Graphics International 1998, IEEE Computer Society, Washington, DC, USA, 666. Google ScholarDigital Library
- Reinhard, E., Ward, G., Pattanaik, S., and Debevec, P. 2005. High Dynamic Range Imaging: Acquisition, Display and Image-Based Lighting. Morgan Kaufmann Publishers, December. Google ScholarDigital Library
Index Terms
- Æ-HDR: an automatic exposure framework for high dynamic range content
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