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A fixed-point implementation of tone mapping operation for HDR images expressed in floating-point format

  • Toshiyuki Dobashi (a1), Atsushi Tashiro (a1), Masahiro Iwahashi (a2) and Hitoshi Kiya (a1)
Abstract

A tone mapping operation (TMO) for HDR images with fixed-point arithmetic is proposed. A TMO generates a low dynamic range (LDR) image from a high dynamic range (HDR) image by compressing its dynamic range. Since HDR images are generally expressed in a floating-point data format, a TMO also deals with floating-point data even though resulting LDR images have integer data. As a result, conventional TMOs require many resources such as computational and memory cost. To reduce the resources, an integer TMO which treats a floating-point number as two 8-bit integer numbers was proposed. However, this method has the limitation of available input HDR image formats. The proposed method introduces an intermediate format to relieve the limitation of input formats, and expands the integer TMO for the intermediate format. The proposed integer TMO can be applied for multiple formats such as the RGBE and the OpenEXR. Moreover, the method can conduct all calculations in the TMO with fixed-point arithmetic. Using both integer data and fixed-point arithmetic, the method reduces not only the memory cost, but also the computational cost. The experimental and evaluation results show that the proposed method reduces the computational and memory cost, and gives almost same quality of LDR images, compared with the conventional method with floating-point arithmetic.

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Copyright
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Corresponding author
Corresponding author: Hitoshi Kiya Email: kiya@tmu.ac.jp
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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

[1] E. Reinhard ; M. Stark ; P. Shirley ; J. Ferwerda : Photographic tone reproduction for digital images. ACM Trans. Graph., 21(3) (2002), 267276.

[3] F. Drago ; K. Myszkowski ; T. Annen ; N. Chiba : Adaptive logarithmic mapping for displaying high contrast scenes. Comput. Graph. Forum, 22(3) (2003), 419426.

[4] R. Fattal ; D. Lischinski ; M. Werman : Gradient domain high dynamic range compression. ACM Trans. Graph., 21(3) (2002), 249256.

[17] J. Shen ; X. Jin ; H. Sun : High dynamic range image tone mapping and retexturing using fast trilateral filtering. Vis. Comput. 23(9–11) (2007), 641650.

[18] J. Shen ; S. Fang ; H. Zhao ; X. Jin ; H. Sun : Fast approximation of trilateral filter for tone mapping using a signal processing approach. Signal Process. 89(5) (2009), 901907.

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APSIPA Transactions on Signal and Information Processing
  • ISSN: 2048-7703
  • EISSN: 2048-7703
  • URL: /core/journals/apsipa-transactions-on-signal-and-information-processing
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