IMAGE ENHANCEMENT FOR IMPROVED VISIBILITY OF DIGITAL DISPLAYS UNDER THE SUNLIGHT

Heejin Lee; Junmin Lee; Seha Jeong; Seunghyun Lee; Seungwan Yu; Junho Heo; Byung Cheol Song

doi:10.1109/ICIP46576.2022.9897726

IMAGE ENHANCEMENT FOR IMPROVED VISIBILITY OF DIGITAL DISPLAYS UNDER THE SUNLIGHT

Heejin Lee, Junmin Lee, Seha Jeong, Seunghyun Lee, Seungwan Yu, Junho Heo, Byung Cheol Song

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Under the sunlight, images displayed on a digital device are generally perceived to be darker than the original, which leads to a decrease in visibility. So, global luminance compensation or tone mapping adaptive to ambient lighting is required. However, global luminance compensation schemes usually have limitations in chrominance compensation as well as local contrast enhancement. This paper proposes a piece-wise linear curve (PLEC)-based image enhancement to enhance both luminance and chrominance. PLECs are regressed through deep learning. In addition, we present a local contrast enhancement scheme for further visibility improvement. Experimental results show that the proposed method outperforms a prior art in terms of subjective/objective visual quality, with significant run-time reduction.

Original language	English
Title of host publication	2022 IEEE International Conference on Image Processing, ICIP 2022 - Proceedings
Publisher	IEEE Computer Society
Pages	3918-3922
Number of pages	5
ISBN (Electronic)	9781665496209
DOIs	https://doi.org/10.1109/ICIP46576.2022.9897726
State	Published - 2022
Event	29th IEEE International Conference on Image Processing, ICIP 2022 - Bordeaux, France Duration: 16 Oct 2022 → 19 Oct 2022

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Conference

Conference	29th IEEE International Conference on Image Processing, ICIP 2022
Country/Territory	France
City	Bordeaux
Period	16/10/22 → 19/10/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

Visibility improvement
ambient lighting
look up table
piece-wise linear curve

Access to Document

10.1109/ICIP46576.2022.9897726

Cite this

Lee, H., Lee, J., Jeong, S., Lee, S., Yu, S., Heo, J., & Song, B. C. (2022). IMAGE ENHANCEMENT FOR IMPROVED VISIBILITY OF DIGITAL DISPLAYS UNDER THE SUNLIGHT. In 2022 IEEE International Conference on Image Processing, ICIP 2022 - Proceedings (pp. 3918-3922). (Proceedings - International Conference on Image Processing, ICIP). IEEE Computer Society. https://doi.org/10.1109/ICIP46576.2022.9897726

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title = "IMAGE ENHANCEMENT FOR IMPROVED VISIBILITY OF DIGITAL DISPLAYS UNDER THE SUNLIGHT",

abstract = "Under the sunlight, images displayed on a digital device are generally perceived to be darker than the original, which leads to a decrease in visibility. So, global luminance compensation or tone mapping adaptive to ambient lighting is required. However, global luminance compensation schemes usually have limitations in chrominance compensation as well as local contrast enhancement. This paper proposes a piece-wise linear curve (PLEC)-based image enhancement to enhance both luminance and chrominance. PLECs are regressed through deep learning. In addition, we present a local contrast enhancement scheme for further visibility improvement. Experimental results show that the proposed method outperforms a prior art in terms of subjective/objective visual quality, with significant run-time reduction.",

keywords = "Visibility improvement, ambient lighting, look up table, piece-wise linear curve",

author = "Heejin Lee and Junmin Lee and Seha Jeong and Seunghyun Lee and Seungwan Yu and Junho Heo and Song, {Byung Cheol}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 29th IEEE International Conference on Image Processing, ICIP 2022 ; Conference date: 16-10-2022 Through 19-10-2022",

year = "2022",

doi = "10.1109/ICIP46576.2022.9897726",

language = "English",

series = "Proceedings - International Conference on Image Processing, ICIP",

publisher = "IEEE Computer Society",

pages = "3918--3922",

booktitle = "2022 IEEE International Conference on Image Processing, ICIP 2022 - Proceedings",

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}

Lee, H, Lee, J, Jeong, S, Lee, S, Yu, S, Heo, J & Song, BC 2022, IMAGE ENHANCEMENT FOR IMPROVED VISIBILITY OF DIGITAL DISPLAYS UNDER THE SUNLIGHT. in 2022 IEEE International Conference on Image Processing, ICIP 2022 - Proceedings. Proceedings - International Conference on Image Processing, ICIP, IEEE Computer Society, pp. 3918-3922, 29th IEEE International Conference on Image Processing, ICIP 2022, Bordeaux, France, 16/10/22. https://doi.org/10.1109/ICIP46576.2022.9897726

IMAGE ENHANCEMENT FOR IMPROVED VISIBILITY OF DIGITAL DISPLAYS UNDER THE SUNLIGHT. / Lee, Heejin; Lee, Junmin; Jeong, Seha et al.
2022 IEEE International Conference on Image Processing, ICIP 2022 - Proceedings. IEEE Computer Society, 2022. p. 3918-3922 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - IMAGE ENHANCEMENT FOR IMPROVED VISIBILITY OF DIGITAL DISPLAYS UNDER THE SUNLIGHT

AU - Lee, Heejin

AU - Lee, Junmin

AU - Jeong, Seha

AU - Lee, Seunghyun

AU - Yu, Seungwan

AU - Heo, Junho

AU - Song, Byung Cheol

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N2 - Under the sunlight, images displayed on a digital device are generally perceived to be darker than the original, which leads to a decrease in visibility. So, global luminance compensation or tone mapping adaptive to ambient lighting is required. However, global luminance compensation schemes usually have limitations in chrominance compensation as well as local contrast enhancement. This paper proposes a piece-wise linear curve (PLEC)-based image enhancement to enhance both luminance and chrominance. PLECs are regressed through deep learning. In addition, we present a local contrast enhancement scheme for further visibility improvement. Experimental results show that the proposed method outperforms a prior art in terms of subjective/objective visual quality, with significant run-time reduction.

AB - Under the sunlight, images displayed on a digital device are generally perceived to be darker than the original, which leads to a decrease in visibility. So, global luminance compensation or tone mapping adaptive to ambient lighting is required. However, global luminance compensation schemes usually have limitations in chrominance compensation as well as local contrast enhancement. This paper proposes a piece-wise linear curve (PLEC)-based image enhancement to enhance both luminance and chrominance. PLECs are regressed through deep learning. In addition, we present a local contrast enhancement scheme for further visibility improvement. Experimental results show that the proposed method outperforms a prior art in terms of subjective/objective visual quality, with significant run-time reduction.

KW - Visibility improvement

KW - ambient lighting

KW - look up table

KW - piece-wise linear curve

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M3 - Conference contribution

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T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 3918

EP - 3922

BT - 2022 IEEE International Conference on Image Processing, ICIP 2022 - Proceedings

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ER -

IMAGE ENHANCEMENT FOR IMPROVED VISIBILITY OF DIGITAL DISPLAYS UNDER THE SUNLIGHT

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