“Æ-HDR: an automatic exposure framework for high dynamic range content”

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    Æ-HDR: an automatic exposure framework for high dynamic range content


    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.


    1. 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.
    2. 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.
    3. 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.
    4. Reinhard, E., Ward, G., Pattanaik, S., and Debevec, P. 2005. High Dynamic Range Imaging: Acquisition, Display and Image-Based Lighting. Morgan Kaufmann Publishers, December.

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