Web: http://arxiv.org/abs/2206.08488

June 20, 2022, 1:13 a.m. | Heewon Kim, Kyoung Mu Lee

cs.CV updates on arXiv.org arxiv.org

Editing flat-looking images into stunning photographs requires skill and
time. Automated image enhancement algorithms have attracted increased interest
by generating high-quality images without user interaction. However, the
quality assessment of a photograph is subjective. Even in tone and color
adjustments, a single photograph of auto-enhancement is challenging to fit user
preferences which are subtle and even changeable. To address this problem, we
present a semiautomatic image enhancement algorithm that can generate
high-quality images with multiple styles by controlling a few …

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