Title: Multi-scale detail enhancement method of 2D animation image based on Retinex algorithm

Authors: Shu Xin

Addresses: Department of Computer Science and Technology, Suzhou College of Information Technology, Jiangsu, 215200, China

Abstract: In order to solve the problems of low accuracy and long time cost in image multiscale detail enhancement, a method of 2D animation image multiscale detail enhancement based on Retinex algorithm is proposed. Firstly, multi-scale detail pixels are segmented by weighted undirected graph method, and the segmentation results are optimised with the help of edge contour and texture feature information. Secondly, the noise value in detail pixels is obtained and removed by Gaussian decomposition, and the colour vector value in pixel chromaticity space is obtained. Finally, the illumination component is estimated with the help of Gaussian convolution function, and the enhancement model based on Retinex algorithm is constructed to achieve detail enhancement. The test results show that the proposed method can improve the detail enhancement accuracy, with the enhancement accuracy up to 98%, and the enhancement time is shortened.

Keywords: Retinex algorithm; 2D animation image: multi-scale details; enhancement method; transformation function slope.

DOI: 10.1504/IJRIS.2024.143156

International Journal of Reasoning-based Intelligent Systems, 2024 Vol.16 No.5, pp.400 - 407

Received: 16 Jan 2023
Accepted: 21 Mar 2023
Published online: 05 Dec 2024 *

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