# Gaussian Grayscale Image Denoising on Urban100 sigma=50 14

Source: [Gaussian Grayscale Image Denoising on Urban100 sigma=50 14](<https://www.sota2.com/research/sota/gaussian-grayscale-image-denoising-on-urban100-sigma-50-14>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:55:38.148Z

Evaluation of Gaussian grayscale image denoising performance on the Urban100 dataset under specific conditions defined by 'sigma=50 14', reporting PSNR.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Gaussian grayscale image denoising |
| Dataset (including any stated split) | Urban100 sigma=50 14 |
| Metric | PSNR |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 14 of 14 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [PSNR](<https://www.sota2.com/research/sota/gaussian-grayscale-image-denoising-on-urban100-sigma-50-14.md?metric=PSNR>): Higher is better; unit: SCALAR.

## Recorded results

| Method | PSNR | Result date | Report paper |
| --- | --- | --- | --- |
| Restormer-Local | 28.45 | Not recorded | 68fa6d351e209131cea386dc |
| Restormer-Local | 28.41 | Not recorded | 68fa6d351e209131cea386dc |
| Restormer | 28.33 | Not recorded | 68fa6d351e209131cea386dc |
| Restormer | 28.29 | Not recorded | 68fa6d351e209131cea386dc |
| SwinIR | 27.98 | Not recorded | 68fa6d351e209131cea386dc |
| DAGL | 27.97 | Not recorded | 68fa6d351e209131cea386dc |
| DRUNet | 27.96 | Not recorded | 68fa6d351e209131cea386dc |
| RNAN | 27.65 | Not recorded | 68fa6d351e209131cea386dc |
| DeamNet | 27.53 | Not recorded | 68fa6d351e209131cea386dc |
| NLRN | 27.49 | Not recorded | 68fa6d351e209131cea386dc |
| MWCNN | 27.42 | Not recorded | 68fa6d351e209131cea386dc |
| FFDNet | 26.5 | Not recorded | 68fa6d351e209131cea386dc |
| DnCNN | 26.35 | Not recorded | 68fa6d351e209131cea386dc |
| IRCNN | 26.22 | Not recorded | 68fa6d351e209131cea386dc |

### Restormer-Local

PSNR: 28.45. Result ID: 698f83b03a6c314849f9900f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386dc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386dc.md>)

[Implementation](<https://github.com/megvii-research/tlc>)

Recorded evaluation configuration: {"Model Training":"single model for various noise levels"}. This record does not assert independent reproduction.

### Restormer-Local

PSNR: 28.41. Result ID: 698f83b03a6c314849f99017.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386dc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386dc.md>)

[Implementation](<https://github.com/megvii-research/tlc>)

Recorded evaluation configuration: {"Model Training":"separate model for each noise level"}. This record does not assert independent reproduction.

### Restormer

PSNR: 28.33. Result ID: 698f83b03a6c314849f9900e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386dc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bfc1e209131cea316e3.md>)

[Implementation](<https://github.com/swz30/Restormer>)

Recorded evaluation configuration: {"Model Training":"single model for various noise levels"}. This record does not assert independent reproduction.

### Restormer

PSNR: 28.29. Result ID: 698f83b03a6c314849f99016.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386dc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bfc1e209131cea316e3.md>)

[Implementation](<https://github.com/swz30/Restormer>)

Recorded evaluation configuration: {"Model Training":"separate model for each noise level"}. This record does not assert independent reproduction.

### SwinIR

PSNR: 27.98. Result ID: 698f83b03a6c314849f99015.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386dc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a9a1e209131cea294aa.md>)

[Implementation](<https://github.com/JingyunLiang/SwinIR>)

Recorded evaluation configuration: {"Model Training":"separate model for each noise level"}. This record does not assert independent reproduction.

### DAGL

PSNR: 27.97. Result ID: 698f83b03a6c314849f99014.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386dc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ad01e209131cea2a7af.md>)

Recorded evaluation configuration: {"Model Training":"separate model for each noise level"}. This record does not assert independent reproduction.

### DRUNet

PSNR: 27.96. Result ID: 698f83b03a6c314849f9900d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386dc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a551e209131cea2776a.md>)

Recorded evaluation configuration: {"Model Training":"single model for various noise levels"}. This record does not assert independent reproduction.

### RNAN

PSNR: 27.65. Result ID: 698f83b03a6c314849f99012.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386dc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65821e209131cea0aac5.md>)

Recorded evaluation configuration: {"Model Training":"separate model for each noise level"}. This record does not assert independent reproduction.

### DeamNet

PSNR: 27.53. Result ID: 698f83b03a6c314849f99013.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386dc.md>)

Recorded evaluation configuration: {"Model Training":"separate model for each noise level"}. This record does not assert independent reproduction.

### NLRN

PSNR: 27.49. Result ID: 698f83b03a6c314849f99011.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386dc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65331e209131cea08e39.md>)

[Implementation](<https://github.com/Ding-Liu/NLRN>)

Recorded evaluation configuration: {"Model Training":"separate model for each noise level"}. This record does not assert independent reproduction.

### MWCNN

PSNR: 27.42. Result ID: 698f83b03a6c314849f99010.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386dc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64601e209131cea041cf.md>)

[Implementation](<https://github.com/lpj0/MWCNN>)

Recorded evaluation configuration: {"Model Training":"separate model for each noise level"}. This record does not assert independent reproduction.

### FFDNet

PSNR: 26.5. Result ID: 698f83b03a6c314849f9900b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386dc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64a71e209131cea05e27.md>)

[Implementation](<https://github.com/cszn/FFDNet>)

Recorded evaluation configuration: {"Model Training":"single model for various noise levels"}. This record does not assert independent reproduction.

### DnCNN

PSNR: 26.35. Result ID: 698f83b03a6c314849f9900a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386dc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63631e209131ce9fe4fc.md>)

[Implementation](<https://github.com/cszn/DnCNN>)

Recorded evaluation configuration: {"Model Training":"single model for various noise levels"}. This record does not assert independent reproduction.

### IRCNN

PSNR: 26.22. Result ID: 698f83b03a6c314849f9900c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386dc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa634b1e209131ce9fdcf4.md>)

[Implementation](<https://github.com/cszn/ircnn>)

Recorded evaluation configuration: {"Model Training":"single model for various noise levels"}. This record does not assert independent reproduction.

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