A Database of Visual Color Differences of Modern Smartphone Photography

Keshuo Xu; Zhihua Wang; Yang Yang; Jianlei Dong; Lihao Xu; Yuming Fang; Kede Ma

doi:10.1109/ICIP46576.2022.9897498

A Database of Visual Color Differences of Modern Smartphone Photography

Keshuo Xu
, Zhihua Wang
, Yang Yang
, Jianlei Dong
, Lihao Xu
, Yuming Fang
, Kede Ma

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

4 Citations (Scopus)

Abstract

Measures for visual color differences (CDs) are pivotal in hardware and software upgrading of modern smartphone photography. Towards this goal, we construct currently the largest database for visual CDs of smartphone photography. Our database consists of 15,335 natural images 1) captured by six latest flagship smartphones, 2) altered by Photoshop^®, 3) post-processed by built-in filters of smartphones, and 4) reproduced with incorrect color profiles. Moreover, we conduct a large-scale psychophysical experiment to gather visual CDs of 30,000 image pairs from 20 human subjects in a well-designed laboratory environment. Last, we apply our human-rated database to compare a total of 27 classical and recent CD metrics. We show that existing metrics are limited in assessing CDs of smartphone photography, and point out promising future directions of learning-based CD metrics. © 2022 IEEE.

Original language	English
Title of host publication	2022 IEEE International Conference on Image Processing
Subtitle of host publication	Proceedings
Publisher	IEEE
Pages	3758-3762
ISBN (Electronic)	9781665496209
ISBN (Print)	978-1-6654-9621-6
DOIs	https://doi.org/10.1109/ICIP46576.2022.9897498
Publication status	Published - 2022
Event	29th IEEE International Conference on Image Processing (ICIP 2022) - Virtual, Bordeaux, France Duration: 16 Oct 2022 → 19 Oct 2022 https://2022.ieeeicip.org/ https://ieeexplore.ieee.org/xpl/conhome/9897158/proceeding

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880
ISSN (Electronic)	2381-8549

Conference

Conference	29th IEEE International Conference on Image Processing (ICIP 2022)
Place	France
City	Bordeaux
Period	16/10/22 → 19/10/22
Internet address	https://2022.ieeeicip.org/ https://ieeexplore.ieee.org/xpl/conhome/9897158/proceeding

Research Keywords

Color difference
color reproduction
smartphone photography

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10.1109/ICIP46576.2022.9897498

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@inproceedings{83e241990a274cc78c86b2f9a485a6f6,

title = "A Database of Visual Color Differences of Modern Smartphone Photography",

abstract = "Measures for visual color differences (CDs) are pivotal in hardware and software upgrading of modern smartphone photography. Towards this goal, we construct currently the largest database for visual CDs of smartphone photography. Our database consists of 15,335 natural images 1) captured by six latest flagship smartphones, 2) altered by Photoshop{\textregistered}, 3) post-processed by built-in filters of smartphones, and 4) reproduced with incorrect color profiles. Moreover, we conduct a large-scale psychophysical experiment to gather visual CDs of 30,000 image pairs from 20 human subjects in a well-designed laboratory environment. Last, we apply our human-rated database to compare a total of 27 classical and recent CD metrics. We show that existing metrics are limited in assessing CDs of smartphone photography, and point out promising future directions of learning-based CD metrics. {\textcopyright} 2022 IEEE.",

keywords = "Color difference, color reproduction, smartphone photography",

author = "Keshuo Xu and Zhihua Wang and Yang Yang and Jianlei Dong and Lihao Xu and Yuming Fang and Kede Ma",

year = "2022",

doi = "10.1109/ICIP46576.2022.9897498",

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isbn = "978-1-6654-9621-6",

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

publisher = "IEEE",

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booktitle = "2022 IEEE International Conference on Image Processing",

address = "United States",

note = "29th IEEE International Conference on Image Processing (ICIP 2022) ; Conference date: 16-10-2022 Through 19-10-2022",

url = "https://2022.ieeeicip.org/, https://ieeexplore.ieee.org/xpl/conhome/9897158/proceeding",

}

Xu, K, Wang, Z, Yang, Y, Dong, J, Xu, L, Fang, Y & Ma, K 2022, A Database of Visual Color Differences of Modern Smartphone Photography. in 2022 IEEE International Conference on Image Processing: Proceedings. Proceedings - International Conference on Image Processing, ICIP, IEEE, pp. 3758-3762, 29th IEEE International Conference on Image Processing (ICIP 2022) , Bordeaux, France, 16/10/22. https://doi.org/10.1109/ICIP46576.2022.9897498

A Database of Visual Color Differences of Modern Smartphone Photography. / Xu, Keshuo; Wang, Zhihua; Yang, Yang et al.
2022 IEEE International Conference on Image Processing: Proceedings. IEEE, 2022. p. 3758-3762 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A Database of Visual Color Differences of Modern Smartphone Photography

AU - Xu, Keshuo

AU - Wang, Zhihua

AU - Yang, Yang

AU - Dong, Jianlei

AU - Xu, Lihao

AU - Fang, Yuming

AU - Ma, Kede

PY - 2022

Y1 - 2022

N2 - Measures for visual color differences (CDs) are pivotal in hardware and software upgrading of modern smartphone photography. Towards this goal, we construct currently the largest database for visual CDs of smartphone photography. Our database consists of 15,335 natural images 1) captured by six latest flagship smartphones, 2) altered by Photoshop®, 3) post-processed by built-in filters of smartphones, and 4) reproduced with incorrect color profiles. Moreover, we conduct a large-scale psychophysical experiment to gather visual CDs of 30,000 image pairs from 20 human subjects in a well-designed laboratory environment. Last, we apply our human-rated database to compare a total of 27 classical and recent CD metrics. We show that existing metrics are limited in assessing CDs of smartphone photography, and point out promising future directions of learning-based CD metrics. © 2022 IEEE.

AB - Measures for visual color differences (CDs) are pivotal in hardware and software upgrading of modern smartphone photography. Towards this goal, we construct currently the largest database for visual CDs of smartphone photography. Our database consists of 15,335 natural images 1) captured by six latest flagship smartphones, 2) altered by Photoshop®, 3) post-processed by built-in filters of smartphones, and 4) reproduced with incorrect color profiles. Moreover, we conduct a large-scale psychophysical experiment to gather visual CDs of 30,000 image pairs from 20 human subjects in a well-designed laboratory environment. Last, we apply our human-rated database to compare a total of 27 classical and recent CD metrics. We show that existing metrics are limited in assessing CDs of smartphone photography, and point out promising future directions of learning-based CD metrics. © 2022 IEEE.

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KW - color reproduction

KW - smartphone photography

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U2 - 10.1109/ICIP46576.2022.9897498

DO - 10.1109/ICIP46576.2022.9897498

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-1-6654-9621-6

T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 3758

EP - 3762

BT - 2022 IEEE International Conference on Image Processing

PB - IEEE

T2 - 29th IEEE International Conference on Image Processing (ICIP 2022)

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ER -

A Database of Visual Color Differences of Modern Smartphone Photography

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