A colour restoration method for multi-texture oil painting images based on colour transfer

Multi-texture oil painting images face challenges such as complex texture interference and artistic feature distortion in the process of colour restoration, making it difficult to accurately restore colour layers and maintain stroke details.Therefore, colour restoration method for multi-texture oil painting images based on colour transfer is proposed.Firstly, the low dimensional subspace denoising method combining RPCA and BM3D effectively removes image noise while preserving texture features.Secondly, design a colour transfer strategy that integrates brightness remapping and K-means clustering to achieve adaptive transfer of reference image colour features.Finally, a generative adversarial network integrating spatial feature transformation and full attention mechanism is constructed, which combines perceptual loss and adversarial loss to achieve visual perception driven colour restoration.The experimental results show that the proposed method has the lowest structural similarity of 0.93 and the highest index of 0.91, both of which are superior to existing comparison methods.