Simple Primary Colour Editing for Consumer Product Images

Han Gong; Luwen Yu; Stephen Westland

doi:10.2352/issn.2169-2629.2020.28.43

Simple Primary Colour Editing for Consumer Product Images

Han Gong, Luwen Yu, Stephen Westland

School of Computing Sciences

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

40 Downloads (Pure)

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. A preliminary experiment has shown some promising results compared with a state-of-the-art method and human editing.

Original language	English
Pages (from-to)	270-276
Number of pages	7
Journal	Color and Imaging Conference
Volume	28
DOIs	https://doi.org/10.2352/issn.2169-2629.2020.28.43
Publication status	Published - 1 Nov 2020

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10.2352/issn.2169-2629.2020.28.43Licence: CC BY

pre-printSubmitted manuscript, 1.52 MB
Published_VersionFinal published version, 2.19 MBLicence: CC BY

Cite this

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title = "Simple Primary Colour Editing for Consumer Product Images",

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. A preliminary experiment has shown some promising results compared with a state-of-the-art method and human editing.",

author = "Han Gong and Luwen Yu and Stephen Westland",

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T1 - Simple Primary Colour Editing for Consumer Product Images

AU - Gong, Han

AU - Yu, Luwen

AU - Westland, Stephen

PY - 2020/11/1

Y1 - 2020/11/1

N2 - 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. A preliminary experiment has shown some promising results compared with a state-of-the-art method and human editing.

AB - 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. A preliminary experiment has shown some promising results compared with a state-of-the-art method and human editing.

UR - https://github.com/hangong/prod_recolor

UR - http://www.scopus.com/inward/record.url?scp=85107430836&partnerID=8YFLogxK

U2 - 10.2352/issn.2169-2629.2020.28.43

DO - 10.2352/issn.2169-2629.2020.28.43

M3 - Conference article

VL - 28

SP - 270

EP - 276

JO - Color and Imaging Conference

JF - Color and Imaging Conference

SN - 2166-9635

ER -

Simple Primary Colour Editing for Consumer Product Images

Abstract

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Other files and links

3D color homography model for photo-realistic color transfer re-coding

Color homography: Theory and applications

Color Homography Color Correction

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