Deep Learning-Based Machine Color Emotion Generation
نویسندگان
چکیده
This paper investigates generating machine color emotion through deep learning. The grayscale image colorization model's training process resembles human memory color. Sixty images were recolored and quality evaluated to explore generated impressions. Six experimental samples under D65, A, CWF, TL84 light sources. Changes in lightness, chroma, hue angle compared the original colorized images, exploring source effects on perception. Analyzing differences coloring results within CIEL* a* b* space for pixels with equal verified generation. Results show learns form impressions from samples. Different temperatures impact prediction accuracy. accurately colors based semantic context, demonstrating spontaneous generation research positively contributes development of intelligent devices emotion.
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ژورنال
عنوان ژورنال: International Journal of Mobile Computing and Multimedia Communications
سال: 2023
ISSN: ['1937-9404', '1937-9412']
DOI: https://doi.org/10.4018/ijmcmc.325349