Saved in:
| Main Author: | |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.23399 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866911234854486016 |
|---|---|
| author | Zhuang, Yun Kai |
| author_facet | Zhuang, Yun Kai |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_23399 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Color and Frequency Correction for Image Colorization Zhuang, Yun Kai Computer Vision and Pattern Recognition 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. |
| title | Color and Frequency Correction for Image Colorization |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2510.23399 |