The project has carried out the re-optimization of image coloring in accordance with the existing Autocolorization direction model DDColor. For the experiments on the existing weights of DDColor, we found that it has limitations in some frequency bands and the color cast problem caused by insufficient input dimension. We construct two optimization schemes and combine them, which achieves the performance improvement of indicators such as PSNR and SSIM of the images after DDColor.

翻译：本项目依据现有自动着色方向模型DDColor，对图像着色进行了再优化。通过对DDColor现有权重的实验分析，我们发现其在部分频段存在局限性，并存在因输入维度不足导致的色彩偏差问题。我们构建了两种优化方案并将其结合，实现了DDColor处理后图像在PSNR、SSIM等指标上的性能提升。