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

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.