HDR Image Compression by Local Adaptation for Scene and Display Using Retinal Model

Lijie WANG; Takahiko HORIUCHI; Hiroaki KOTERA

HDR Image Compression by Local Adaptation for Scene and Display Using Retinal Model

Lijie WANG, Takahiko HORIUCHI, Hiroaki KOTERA

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Adaptation process of retina helps human visual system to see a high dynamic range scene in real world. This paper presents a simple static local adaptation method for high dynamic range image compression based on a retinal model. The proposed simple model aims at recreating the same sensations between the real scene and the range compressed image on display device when viewed after reaching steady state local adaptation respectively. Our new model takes the display adaptation into account in relation to the scene adaptation based on the retinal model. In computing local adaptation, the use of nonlinear edge preserving bilateral filter presents a better tonal rendition in preserving the local contrast and details while avoiding banding artifacts normally seen in local methods. Finally, we demonstrate the effectiveness of the proposed model by estimating the color difference between the recreated image and the target visual image obtained by trial and error method.

Publication: IEICE TRANSACTIONS on Information Vol.E90-D No.1 pp.173-181

Publication Date: 2007/01/01

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Online ISSN: 1745-1361

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Type of Manuscript: Special Section PAPER (Special Section on Advanced Image Technology)

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Lijie WANG, Takahiko HORIUCHI, Hiroaki KOTERA, "HDR Image Compression by Local Adaptation for Scene and Display Using Retinal Model" in IEICE TRANSACTIONS on Information, vol. E90-D, no. 1, pp. 173-181, January 2007, doi: .
Abstract: Adaptation process of retina helps human visual system to see a high dynamic range scene in real world. This paper presents a simple static local adaptation method for high dynamic range image compression based on a retinal model. The proposed simple model aims at recreating the same sensations between the real scene and the range compressed image on display device when viewed after reaching steady state local adaptation respectively. Our new model takes the display adaptation into account in relation to the scene adaptation based on the retinal model. In computing local adaptation, the use of nonlinear edge preserving bilateral filter presents a better tonal rendition in preserving the local contrast and details while avoiding banding artifacts normally seen in local methods. Finally, we demonstrate the effectiveness of the proposed model by estimating the color difference between the recreated image and the target visual image obtained by trial and error method.
URL: https://global.ieice.org/en_transactions/information/10.1587/e90-d_1_173/_p

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@ARTICLE{e90-d_1_173,
author={Lijie WANG, Takahiko HORIUCHI, Hiroaki KOTERA, },
journal={IEICE TRANSACTIONS on Information},
title={HDR Image Compression by Local Adaptation for Scene and Display Using Retinal Model},
year={2007},
volume={E90-D},
number={1},
pages={173-181},
abstract={Adaptation process of retina helps human visual system to see a high dynamic range scene in real world. This paper presents a simple static local adaptation method for high dynamic range image compression based on a retinal model. The proposed simple model aims at recreating the same sensations between the real scene and the range compressed image on display device when viewed after reaching steady state local adaptation respectively. Our new model takes the display adaptation into account in relation to the scene adaptation based on the retinal model. In computing local adaptation, the use of nonlinear edge preserving bilateral filter presents a better tonal rendition in preserving the local contrast and details while avoiding banding artifacts normally seen in local methods. Finally, we demonstrate the effectiveness of the proposed model by estimating the color difference between the recreated image and the target visual image obtained by trial and error method.},
keywords={},
doi={},
ISSN={1745-1361},
month={January},}

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TY - JOUR
TI - HDR Image Compression by Local Adaptation for Scene and Display Using Retinal Model
T2 - IEICE TRANSACTIONS on Information
SP - 173
EP - 181
AU - Lijie WANG
AU - Takahiko HORIUCHI
AU - Hiroaki KOTERA
PY - 2007
DO -
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2007
AB - Adaptation process of retina helps human visual system to see a high dynamic range scene in real world. This paper presents a simple static local adaptation method for high dynamic range image compression based on a retinal model. The proposed simple model aims at recreating the same sensations between the real scene and the range compressed image on display device when viewed after reaching steady state local adaptation respectively. Our new model takes the display adaptation into account in relation to the scene adaptation based on the retinal model. In computing local adaptation, the use of nonlinear edge preserving bilateral filter presents a better tonal rendition in preserving the local contrast and details while avoiding banding artifacts normally seen in local methods. Finally, we demonstrate the effectiveness of the proposed model by estimating the color difference between the recreated image and the target visual image obtained by trial and error method.
ER -