Color and Frequency Correction for Image Colorization

TL;DR

This paper improves image colorization by re-optimizing the DDColor model, addressing frequency band limitations and color cast issues, resulting in better image quality metrics.

Contribution

It introduces two combined optimization schemes that enhance DDColor's performance in image colorization tasks.

Findings

Improved PSNR and SSIM scores after optimization

Addressed frequency band limitations in DDColor

Reduced color cast artifacts

Abstract

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.