Proceedings: GI 2019

MarkWhite: An Improved Interactive White-Balance Method for Smartphone Cameras

Abdelrahman Abdelhamed (York University), I. Scott MacKenzie (York University), Michael S. Brown (York University)

Proceedings of Graphics Interface 2019: Kingston, Ontario, 28 - 31 May 2019

DOI 10.20380/GI2019.24

  • BibTex

    @inproceedings{Abdelhamed:2019:10.20380/GI2019.24,
    author = {Abdelhamed, Abdelrahman and MacKenzie, I. Scott and Brown, Michael S.},
    title = {MarkWhite: An Improved Interactive White-Balance Method for Smartphone Cameras},
    booktitle = {Proceedings of Graphics Interface 2019},
    series = {GI 2019},
    year = {2019},
    issn = {0713-5424},
    isbn = {978-0-9947868-4-5},
    location = {Kingston, Ontario},
    numpages = {8},
    doi = {10.20380/GI2019.24},
    publisher = {Canadian Information Processing Society},
    keywords = {Mobile user interfaces, user-interactive white balance, smartphone camera, MarkWhite},
    }

Abstract

White balance is an essential step for camera colour processing. The goal is to correct the colour cast caused by scene illumination in captured images. In this paper, three user-interactive white balance methods for smartphone cameras are implemented and evaluated. Two methods are commonly used in smartphone cameras: predefined illuminants and temperature slider. The third method, called MarkWhite, is newly introduced into smartphone camera apps. Two user studies evaluated the accuracy and task completion time of MarkWhite and compared it to the existing methods. The first user study revealed that a basic version of MarkWhite is more accurate, slightly faster, and slightly more preferred over the two existing methods. The main user study focused on the full version of MarkWhite, revealing that it is even more accurate than the basic version and better than state-of-the-art industrial white balance methods on the latest smartphone cameras. The collective findings show that MarkWhite is a more accurate and efficient user-interactive white balance method for smartphone cameras, and more preferred by users as well.