JPEG Artifact Correction
12 papers with code • 26 benchmarks • 5 datasets
Correction of visual artifacts caused by JPEG compression, these artifacts are usually grouped into three types: blocking, blurring, and ringing. They are caused by quantization and removal of high frequency DCT coefficients.
Most implemented papers
Hypernetwork-Based Adaptive Image Restoration
Adaptive image restoration models can restore images with different degradation levels at inference time without the need to retrain the model.
JPEG Artifact Correction using Denoising Diffusion Restoration Models
Diffusion models can be used as learned priors for solving various inverse problems.