Autors: Zapryanov, G. Z.
Title: Automatic White Balance Algorithms – a New Methodology for Objective Evaluation
Keywords: Automatic White Balance, Digital cameras, ColorChecker cards

Abstract: Automatic white balance (AWB) is defined as correcting an image that was taken under an unknown light source, so that it appears to be taken under a canonical (often white) light source. The main problem with the automatic white balance algorithms is the evaluation of the images obtained after their implementation. This article examines a new methodology, allowing the objective evaluation of algorithms for automatic white balance. For comparison purposes, test images are used, taken at different settings of white balance of digital still camera, various scenes with different color temperatures, and under calibrated and uncalibrated illumination environments.

References

    Issue

    7th International Scientific Conference Computer Science’2015, pp. 114-118, 2015, Albania, ISBN ISBN 978-619-167-177-9

    Цитирания (Citation/s):
    1. Herman, D.M. and Sanders, L., Ford Global Technologies LLC, 2023. White balance and color correction for interior vehicle camera. U.S. Patent 11,700,458. - 2023 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    2. Верещагин, В., 2019. ОЦЕНКА ТОЧНОСТИ АВТОМАТИЧЕСКИХ АЛГОРИТМОВ КОРРЕКЦИИ ЦВЕТОВЫХ СДВИГОВ ИЗОБРАЖЕНИЙ. Innovations in Publishing, Printing and Multimedia Technologies, pp.150-157. - 2019 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание