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Image quality equivalence between peak luminance and chromaticity gamut
Author(s) -
Park Yongmin,
Murdoch Michael J.
Publication year - 2020
Publication title -
journal of the society for information display
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 52
eISSN - 1938-3657
pISSN - 1071-0922
DOI - 10.1002/jsid.906
Subject(s) - gamut , chromaticity , luminance , computer vision , artificial intelligence , computer science , image quality , rgb color model , observer (physics) , lightness , rgb color space , image (mathematics) , color image , mathematics , image processing , physics , quantum mechanics
This paper introduces a psychophysical experiment to investigate the image quality trade‐off relationship between peak luminance and the chromaticity area of the color gamut of a display device and models to predict equivalent image quality based on the experimental results. Our experimental results confirmed the hypothesis that the peak luminance required to maintain equivalent image quality tends to decrease as the color gamut area expands. At the same time, the relationship between peak luminance and color gamut strongly depends on image content. Based on the experimental results, two models are suggested. These models show good performance in terms of predicting the required luminance levels for given color gamut areas. Notably, the model built using an observer‐chosen region of interest (ROI) in an image slightly outperforms the model generated without this information.