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Grey conversion via perceived-contrast
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DOI：10.1007/s00371-013-0854-9.png)
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摘要
En 中文
This paper presents a new color-to-gray conversion algorithm capturing the perceived appearance of color images. Based on the Filter Theory, we formulate a novel measurement of channel-level distinction, called Channel Salience, to depict the filter level of three color stimuli. This salience metric guides a contrast adjustment process to enhance the perceived grayscale in the final output with a two-steps conversion. Experimental results show that our algorithm produces pleasing results for a variety of color images and we further extend the Channel Salience to edge detection.
Keyword:
Color-to-gray conversion
Filter theory
Channel salience
Perceived contrast
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2.9
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4.6K
被引数:
6.5K
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