Simple Primary Colour Editing for Consumer Product Images
June 06, 2020 ยท Entered Twilight ยท ๐ International Conference on Communications in Computing
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Repo contents: Demo.m, HGMeanShiftCluster.m, LICENSE, README.md, cc.m, regrain.m, test_im
Authors
Han Gong, Luwen Yu, Stephen Westland
arXiv ID
2006.03743
Category
cs.CV: Computer Vision
Cross-listed
cs.GR
Citations
2
Venue
International Conference on Communications in Computing
Repository
https://github.com/hangong/prod_recolor/
โญ 7
Last Checked
2 months ago
Abstract
We present a simple primary colour editing method for consumer product images. We show that by using colour correction and colour blending, we can automate the pain-staking colour editing task and save time for consumer colour preference researchers. To improve the colour harmony between the primary colour and its complementary colours, our algorithm also tunes the other colours in the image. Preliminary experiment has shown some promising results compared with a state-of-the-art method and human editing.
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