In this paper, we propose a coding algorithm for High Dynamic Range Images (HDRI). Our encoder applies a tone mapping model based on scaled µ-Law encoding, followed by a conventional Low Dynamic Range Image (LDRI) encoder. The tone mapping model is designed to minimize the difference between the tone-mapped HDRI and its LDR version. By virtue of the nature of the µ-Law model, not only the quality of the HDRI but also the one of the LDRI is improved, compared with a state of the art in conventional HDRI coding methods. Furthermore the error limit caused by our encoding is theoretically analyzed.
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Takao JINNO, Hironori KAIDA, Xinwei XUE, Nicola ADAMI, Masahiro OKUDA, "µ-Law Based HDR Coding and Its Error Analysis" in IEICE TRANSACTIONS on Fundamentals,
vol. E94-A, no. 3, pp. 972-978, March 2011, doi: 10.1587/transfun.E94.A.972.
Abstract: In this paper, we propose a coding algorithm for High Dynamic Range Images (HDRI). Our encoder applies a tone mapping model based on scaled µ-Law encoding, followed by a conventional Low Dynamic Range Image (LDRI) encoder. The tone mapping model is designed to minimize the difference between the tone-mapped HDRI and its LDR version. By virtue of the nature of the µ-Law model, not only the quality of the HDRI but also the one of the LDRI is improved, compared with a state of the art in conventional HDRI coding methods. Furthermore the error limit caused by our encoding is theoretically analyzed.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E94.A.972/_p
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@ARTICLE{e94-a_3_972,
author={Takao JINNO, Hironori KAIDA, Xinwei XUE, Nicola ADAMI, Masahiro OKUDA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={µ-Law Based HDR Coding and Its Error Analysis},
year={2011},
volume={E94-A},
number={3},
pages={972-978},
abstract={In this paper, we propose a coding algorithm for High Dynamic Range Images (HDRI). Our encoder applies a tone mapping model based on scaled µ-Law encoding, followed by a conventional Low Dynamic Range Image (LDRI) encoder. The tone mapping model is designed to minimize the difference between the tone-mapped HDRI and its LDR version. By virtue of the nature of the µ-Law model, not only the quality of the HDRI but also the one of the LDRI is improved, compared with a state of the art in conventional HDRI coding methods. Furthermore the error limit caused by our encoding is theoretically analyzed.},
keywords={},
doi={10.1587/transfun.E94.A.972},
ISSN={1745-1337},
month={March},}
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TY - JOUR
TI - µ-Law Based HDR Coding and Its Error Analysis
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 972
EP - 978
AU - Takao JINNO
AU - Hironori KAIDA
AU - Xinwei XUE
AU - Nicola ADAMI
AU - Masahiro OKUDA
PY - 2011
DO - 10.1587/transfun.E94.A.972
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E94-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2011
AB - In this paper, we propose a coding algorithm for High Dynamic Range Images (HDRI). Our encoder applies a tone mapping model based on scaled µ-Law encoding, followed by a conventional Low Dynamic Range Image (LDRI) encoder. The tone mapping model is designed to minimize the difference between the tone-mapped HDRI and its LDR version. By virtue of the nature of the µ-Law model, not only the quality of the HDRI but also the one of the LDRI is improved, compared with a state of the art in conventional HDRI coding methods. Furthermore the error limit caused by our encoding is theoretically analyzed.
ER -