Title: Adaptive colour compensation method for human-computer interaction interface images based on colour attenuation prior

Authors: Xueying Xu

Addresses: Department of Information Engineering, Shijiazhuang College of Applied Technology, Shijiazhuang, Hebei, China

Abstract: To address the issues of low contrast and information entropy in traditional colour compensation methods, this paper proposes a novel adaptive colour compensation method for Human-Computer Interaction (HCI) interface images based on colour attenuation prior. First, filtering algorithms are employed to denoise the original HCI interface image. Next, a linear model of image depth is established using colour attenuation prior, and Gaussian filtering is applied to images with varying scene depths. Then, the semi-quadratic splitting method is used to calculate the transmittance value of each pixel in the HCI interface image. Finally, adaptive Gamma correction weights are applied to perform colour compensation in the RGB colour space. Experimental results demonstrate that the proposed method achieves an average contrast of 76.56 and an information entropy range of 7.8-8.0, indicating excellent performance.

Keywords: HCI; human-computer interaction interface image; colour attenuation prior; linear model; Gaussian filtering; Gamma correction weight; colour compensation.

DOI: 10.1504/IJPD.2025.149688

International Journal of Product Development, 2025 Vol.29 No.3/4, pp.380 - 396

Received: 30 Oct 2024
Accepted: 12 Aug 2025
Published online: 10 Nov 2025 *

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