Simple Primary Colour Editing for Consumer Product Images

June 06, 2020 ยท Entered Twilight ยท ๐Ÿ› 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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