改进图像着色模型在频域和色彩偏移上的缺陷，提升画质。
Color and Frequency Correction for Image Colorization
- 针对频域响应不足与输入维度导致的色彩偏差，设计双优化方案。
- 在DDColor基础上，PSNR与SSIM指标均实现显著提升。
- 适合关注图像着色质量优化的研究者与开发者参考。
本研究基于现有自动着色模型DDColor进行再优化。实验发现，原模型在部分频率带存在响应不足，且因输入维度有限导致颜色偏移问题。为此，构建了两种优化方案并融合应用，有效改善了图像着色效果，在DDColor基础上实现了PSNR与SSIM等指标的提升。
原文摘要 · Abstract (English)
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.
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