Jpeg Artifact Correction On Live1 Quality 10
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PSNR
PSNR-B
SSIM
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | PSNR | PSNR-B | SSIM | Paper Title | Repository |
|---|---|---|---|---|---|
| FBCNN | 27.77 | 27.51 | 0.803 | Towards Flexible Blind JPEG Artifacts Removal | |
| QGAC | 27.65 | 27.40 | 0.819 | Quantization Guided JPEG Artifact Correction | |
| MWCNN | 27.45 | 27.44 | 0.808 | Multi-level Wavelet-CNN for Image Restoration | |
| MemNet | 27.33 | 27.34 | 0.810 | MemNet: A Persistent Memory Network for Image Restoration | |
| ARCNN | 26.91 | 26.92 | 0.795 | Compression Artifacts Reduction by a Deep Convolutional Network | |
| DPW-SDNet | 27.26 | 27.28 | 0.803 | DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of JPEG-Compressed Images | - |
| S-Net | 27.35 | 27.36 | 0.809 | S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact Reduction | - |
| Hi-IR | 28.36 | - | 0.818 | Hierarchical Information Flow for Generalized Efficient Image Restoration | - |
| IDCN | 27.63 | 27.63 | 0.816 | Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction | - |
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