Title: Colour correction method of fine arts and traditional Chinese painting works based on colour space decomposition

Authors: Xiyang Li; Wenzhen Ku

Addresses: College of Fine Arts and Design, Hunan City University, Yiyang, 413000, Hunan, China ' College of Materials and Chemical Engineering, Hunan City University, Yiyang, 413000, Hunan, China

Abstract: Aiming at the problems of low colour correction accuracy and large colour space decomposition error in colour correction of fine arts and traditional Chinese painting works, a colour correction method based on colour space decomposition is designed. First, the linear weighting algorithm is used to fuse the colour pixel level of the fine arts and traditional Chinese painting image. The wavelet transform algorithm is introduced to complete the extraction of colour features, and then the colour features are pre-processed. Finally, the state of colour space is determined, through the decomposition of row and column pixels in colour space, the deviation probability with Markov chain is calculated, and colour correction research through the determination of state function is realised. The results show that the proposed method can improve the accuracy of colour correction of fine arts and traditional Chinese painting images, and the colour space decomposition error is low.

Keywords: fine arts and traditional Chinese painting works; image colour; pixel level; wavelet transform algorithm; high frequency component; Markov chain.

DOI: 10.1504/IJRIS.2024.144058

International Journal of Reasoning-based Intelligent Systems, 2024 Vol.16 No.6, pp.417 - 426

Received: 30 Dec 2022
Accepted: 21 Mar 2023
Published online: 23 Jan 2025 *

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