The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Neste artigo, propomos um algoritmo de codificação para imagens de alta faixa dinâmica (HDRI). Nosso codificador aplica um modelo de mapeamento de tom baseado na codificação µ-Law em escala, seguido por um codificador convencional de imagem de baixa faixa dinâmica (LDRI). O modelo de mapeamento de tons foi projetado para minimizar a diferença entre o HDRI mapeado por tons e sua versão LDR. Em virtude da natureza do modelo µ-Law, não apenas a qualidade do HDRI, mas também a do LDRI é melhorada, em comparação com o estado da arte em métodos convencionais de codificação de HDRI. Além disso, o limite de erro causado pela nossa codificação é analisado teoricamente.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copiar
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
Copiar
@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},}
Copiar
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 -