IEICE TRANSACTIONS on Fundamentals
A Fixed-Point Global Tone Mapping Operation for HDR Images in the RGBE Format
Summary :
A global tone mapping operation (TMO) for high dynamic range (HDR) images with fixed-point arithmetic is proposed and evaluated in this paper. A TMO generates a low dynamic range (LDR) image from an HDR image by compressing its dynamic range. Since an HDR image is generally expressed in a floating-point data format, a TMO also deals with floating-point data even though a resultant LDR image is integer data. The proposed method treats a floating-point number as two 8-bit integer numbers which correspond to an exponent part and a mantissa part, and applies tone mapping to these integer numbers separately. Moreover, the method conducts all calculations in the tone mapping with only fixed-point arithmetic. As a result, the method reduces a memory cost and a computational cost. The evaluation shows that the proposed method reduces 81.25% of memory usage. The experimental results show that the processing speed of the proposed method with fixed-point arithmetic is 23.1 times faster than the conventional method with floating-point arithmetic. Furthermore, they also show the PSNR of LDR images obtained by the proposed method are comparable to those of the conventional method, though reducing computational and memory cost.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E97-A No.11 pp.2147-2153
- Publication Date
- 2014/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E97.A.2147
- Type of Manuscript
- Special Section PAPER (Special Section on Smart Multimedia & Communication Systems)
- Category
Authors
Toshiyuki DOBASHI
Tokyo Metropolitan University
Tatsuya MUROFUSHI
Tokyo Metropolitan University
Masahiro IWAHASHI
Nagaoka University of Technology
Hitoshi KIYA
Tokyo Metropolitan University
Keyword
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Toshiyuki DOBASHI, Tatsuya MUROFUSHI, Masahiro IWAHASHI, Hitoshi KIYA, "A Fixed-Point Global Tone Mapping Operation for HDR Images in the RGBE Format" in IEICE TRANSACTIONS on Fundamentals,
vol. E97-A, no. 11, pp. 2147-2153, November 2014, doi: 10.1587/transfun.E97.A.2147.
Abstract: A global tone mapping operation (TMO) for high dynamic range (HDR) images with fixed-point arithmetic is proposed and evaluated in this paper. A TMO generates a low dynamic range (LDR) image from an HDR image by compressing its dynamic range. Since an HDR image is generally expressed in a floating-point data format, a TMO also deals with floating-point data even though a resultant LDR image is integer data. The proposed method treats a floating-point number as two 8-bit integer numbers which correspond to an exponent part and a mantissa part, and applies tone mapping to these integer numbers separately. Moreover, the method conducts all calculations in the tone mapping with only fixed-point arithmetic. As a result, the method reduces a memory cost and a computational cost. The evaluation shows that the proposed method reduces 81.25% of memory usage. The experimental results show that the processing speed of the proposed method with fixed-point arithmetic is 23.1 times faster than the conventional method with floating-point arithmetic. Furthermore, they also show the PSNR of LDR images obtained by the proposed method are comparable to those of the conventional method, though reducing computational and memory cost.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E97.A.2147/_p
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@ARTICLE{e97-a_11_2147,
author={Toshiyuki DOBASHI, Tatsuya MUROFUSHI, Masahiro IWAHASHI, Hitoshi KIYA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Fixed-Point Global Tone Mapping Operation for HDR Images in the RGBE Format},
year={2014},
volume={E97-A},
number={11},
pages={2147-2153},
abstract={A global tone mapping operation (TMO) for high dynamic range (HDR) images with fixed-point arithmetic is proposed and evaluated in this paper. A TMO generates a low dynamic range (LDR) image from an HDR image by compressing its dynamic range. Since an HDR image is generally expressed in a floating-point data format, a TMO also deals with floating-point data even though a resultant LDR image is integer data. The proposed method treats a floating-point number as two 8-bit integer numbers which correspond to an exponent part and a mantissa part, and applies tone mapping to these integer numbers separately. Moreover, the method conducts all calculations in the tone mapping with only fixed-point arithmetic. As a result, the method reduces a memory cost and a computational cost. The evaluation shows that the proposed method reduces 81.25% of memory usage. The experimental results show that the processing speed of the proposed method with fixed-point arithmetic is 23.1 times faster than the conventional method with floating-point arithmetic. Furthermore, they also show the PSNR of LDR images obtained by the proposed method are comparable to those of the conventional method, though reducing computational and memory cost.},
keywords={},
doi={10.1587/transfun.E97.A.2147},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - A Fixed-Point Global Tone Mapping Operation for HDR Images in the RGBE Format
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2147
EP - 2153
AU - Toshiyuki DOBASHI
AU - Tatsuya MUROFUSHI
AU - Masahiro IWAHASHI
AU - Hitoshi KIYA
PY - 2014
DO - 10.1587/transfun.E97.A.2147
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E97-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2014
AB - A global tone mapping operation (TMO) for high dynamic range (HDR) images with fixed-point arithmetic is proposed and evaluated in this paper. A TMO generates a low dynamic range (LDR) image from an HDR image by compressing its dynamic range. Since an HDR image is generally expressed in a floating-point data format, a TMO also deals with floating-point data even though a resultant LDR image is integer data. The proposed method treats a floating-point number as two 8-bit integer numbers which correspond to an exponent part and a mantissa part, and applies tone mapping to these integer numbers separately. Moreover, the method conducts all calculations in the tone mapping with only fixed-point arithmetic. As a result, the method reduces a memory cost and a computational cost. The evaluation shows that the proposed method reduces 81.25% of memory usage. The experimental results show that the processing speed of the proposed method with fixed-point arithmetic is 23.1 times faster than the conventional method with floating-point arithmetic. Furthermore, they also show the PSNR of LDR images obtained by the proposed method are comparable to those of the conventional method, though reducing computational and memory cost.
ER -
English
