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
본 논문에서는 높은 동적 범위를 갖는 Camera Raw 이미지에 대한 코딩 방법을 제안합니다. 우리 인코더에는 두 개의 레이어가 있습니다. 첫 번째 레이어에서는 24비트의 낮은 동적 범위 이미지가 기존 코덱으로 인코딩되고, 두 번째 레이어에서는 원본 이미지와 근사치의 차이를 나타내는 잔차 이미지가 인코딩됩니다. 근사치는 다항식 피팅에 의해 도출됩니다. 이 접근 방식의 가장 큰 장점은 다항식 모델을 적용하면 원시 이미지와 24비트 이미지 간의 상관 관계가 줄어들어 코딩 효율성이 높아진다는 것입니다. 실험에서는 역톤 매핑을 고려하면 압축 효율성이 크게 향상되는 것으로 나타났습니다.
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Masahiro OKUDA, Nicola ADAMI, "JPEG Compatible Raw Image Coding Based on Polynomial Tone Mapping Model" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 10, pp. 2928-2933, October 2008, doi: 10.1093/ietfec/e91-a.10.2928.
Abstract: In this paper, we propose a coding method for camera raw images with high dynamic ranges. Our encoder has two layers. In the first layer, 24 bit low dynamic range image is encoded by a conventional codec, and then the residual image that represents the difference between the raw image and its approximation is encoded in the second layer. The approximation is derived by a polynomial fitting. The main advantage of this approach is that applying the polynomial model reduces the correlation between the raw and 24 bit images, which increases coding efficiency. Experiments shows compression efficiency is significantly improved by taking an inverse tone mapping into account.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.10.2928/_p
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@ARTICLE{e91-a_10_2928,
author={Masahiro OKUDA, Nicola ADAMI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={JPEG Compatible Raw Image Coding Based on Polynomial Tone Mapping Model},
year={2008},
volume={E91-A},
number={10},
pages={2928-2933},
abstract={In this paper, we propose a coding method for camera raw images with high dynamic ranges. Our encoder has two layers. In the first layer, 24 bit low dynamic range image is encoded by a conventional codec, and then the residual image that represents the difference between the raw image and its approximation is encoded in the second layer. The approximation is derived by a polynomial fitting. The main advantage of this approach is that applying the polynomial model reduces the correlation between the raw and 24 bit images, which increases coding efficiency. Experiments shows compression efficiency is significantly improved by taking an inverse tone mapping into account.},
keywords={},
doi={10.1093/ietfec/e91-a.10.2928},
ISSN={1745-1337},
month={October},}
부
TY - JOUR
TI - JPEG Compatible Raw Image Coding Based on Polynomial Tone Mapping Model
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2928
EP - 2933
AU - Masahiro OKUDA
AU - Nicola ADAMI
PY - 2008
DO - 10.1093/ietfec/e91-a.10.2928
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2008
AB - In this paper, we propose a coding method for camera raw images with high dynamic ranges. Our encoder has two layers. In the first layer, 24 bit low dynamic range image is encoded by a conventional codec, and then the residual image that represents the difference between the raw image and its approximation is encoded in the second layer. The approximation is derived by a polynomial fitting. The main advantage of this approach is that applying the polynomial model reduces the correlation between the raw and 24 bit images, which increases coding efficiency. Experiments shows compression efficiency is significantly improved by taking an inverse tone mapping into account.
ER -