Subjective Evaluation Experiment of Grayscale Color to Examine VAS Measurement Method

Autor: Satoshi Watanabe, Yukio Mori, Naruki Shirahama, Naofumi Nakaya, Kaito Murakami
Rok vydání: 2019
Předmět:
Zdroj: Proceedings of The 7th International Conference on Intelligent Systems and Image Processing 2019.
DOI: 10.12792/icisip2019.027
Popis: We have been researching subjective evaluation experiments using Visual Analog Scale (VAS). VAS, which marks the subject's subjective evaluation degree on a straight line, has the advantage of expressing subjectivity more intuitively. In this paper, we report an attempt of the subjective evaluation related to human lightness sense as fundamental research on what kind of color sense human has and how it affects other sensitivity. In this study, we used VAS to obtain answers on where each gray image with different lightness corresponds to on the grayscale. Numeric values obtained by this evaluation experiment were analyzed to confirm the characteristics of the sensitivity of the individual.Moreover, at the same time, it was examined whether the VAS accurately reflected the subjective view of the person by the answer of what percentage of the grayscale was by the numeric value input. In order to conduct experiments smoothly, we developed an app that can perform VAS measurement and numeric value input simultaneously. We presented ten grayscale images to 13 subjects and obtained subjective measurements using this app. It was confirmed that when the lightness of the grayscale image is high, it can be recognized relatively accurately, but when the lightness is low, it tends to feel darker.
Databáze: OpenAIRE