Title: Colour averaging techniques and trends explored through artwork

Authors: Alina Gorbunova; Eric Rosenberg; Angelina Cheng

Addresses: Rutgers University, The State University of New Jersey, 57 US Highway 1, New Brunswick, 08901-8554, New Jersey, USA ' Georgian Court University, 900 Lakewood Avenue, Lakewood, 08701, New Jersey, USA ' Rutgers University, The State University of New Jersey, 57 US Highway 1, New Brunswick, 08901-8554, New Jersey, USA

Abstract: We analyse colour trends and recognisability in artwork through different averaging techniques. The averaging techniques divide the image in different ways, such as dividing it into a grid, columns, or rows, and taking the mean colour of those subdivisions. We apply these averaging techniques to several categories of art - impressionist, cubist, monochromatic, polychromatic, landscape, portrait, and still life. Our research identifies which colour averaging technique makes a certain type of artwork the most recognisable, and uses standard deviation to automatically chose an averaging technique.

Keywords: colour averaging techniques; colour averaging trends; standard deviation; monochromatic; polychromatic; artwork; recognisability.

DOI: 10.1504/IJART.2022.125622

International Journal of Arts and Technology, 2022 Vol.14 No.2, pp.113 - 127

Received: 29 Aug 2021
Accepted: 23 Dec 2021
Published online: 17 Sep 2022 *

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