Simple Primary Colour Editing for Consumer Product Images

TL;DR

This paper introduces a straightforward primary colour editing technique for consumer product images that automates colour adjustments, enhancing efficiency and consistency compared to manual editing and existing methods.

Contribution

The paper proposes a simple, automated primary colour editing method using colour correction and blending, with an algorithm that improves colour harmony in product images.

Findings

Preliminary experiments show promising results.

Outperforms a state-of-the-art method.

Reduces manual editing effort.

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.