Work

Comparison of Regression Methods and Neural Networks for Colour Corrections

Year: 2024

Type: article

Abstract: Reprinted with permission of IS&T: The Society for Imaging Science and Technology sole copyright owners of the London Imaging Meeting 2022: Display Science.

Source: Apollo (University of Cambridge)

DOI: 10.17863/cam.111768

Authors: Kucuk, Abdullah, Finlayson, Graham, Mantiuk, Rafal, Ashraf, Maliha

Language: English

Topic: Color Science and Applications

Subfield: Atomic and Molecular Physics, and Optics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funder: Engineering and Physical Sciences Research Council

Awards: G5366997213, A spatio-chromatic colour appearance model for retargeting high dynamic range image appearance across viewing conditions

OpenAlex ID: W6906774595

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