Title: Texture detail enhancement method of 2D animation image based on generative adversarial network

Authors: Zhigang Yang

Addresses: Costume Institute, Luohe Vocational Technology College, Luohe, 462000, China

Abstract: To address the issues of poor performance, low PSNR, and long processing time in traditional 2D animation image texture detail enhancement methods, a texture detail enhancement method of 2D animation image based on generative adversarial network is proposed. Build a two-dimensional animation image acquisition architecture using image acquisition modules, IIC driver configuration modules, etc., to achieve two-dimensional animation image acquisition. Extract the features of collected 2D animation images from multiple perspectives such as brightness, local contrast, and saturation, and combine them with generative adversarial network to enhance the texture details of 2D animation images. The experimental results show that the two-dimensional animated images processed by the proposed method do not exhibit any artefacts or distortions, ensuring the realism and naturalness of the images. The average PSNR of the two-dimensional animated images is 53.25 dB, and the average enhancement time is 1.35 s. The image texture details are enhanced effectively.

Keywords: generative adversarial network; 2D animation image; texture detail enhancement; image acquisition architecture; brightness; local contrast; saturation.

DOI: 10.1504/IJISTA.2025.145629

International Journal of Intelligent Systems Technologies and Applications, 2025 Vol.23 No.1/2, pp.32 - 50

Received: 19 Jul 2024
Accepted: 10 Sep 2024
Published online: 09 Apr 2025 *

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