# Thermal Infrared Hyperspectral Image Inpainting on IH-10 b=0.5 (test)

Source: [Thermal Infrared Hyperspectral Image Inpainting on IH-10 b=0.5 (test)](<https://www.sota2.com/research/sota/thermal-infrared-hyperspectral-image-inpainting-on-ih-10-b-0-5-test>)

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

Data updated: 2026-05-14T09:46:01.176Z

Evaluation of Thermal Infrared Hyperspectral Image Inpainting performance on the IH-10 dataset (b=0.5 split), measured using PSNR, SSIM, ERGAS, RMSE, and SAM.

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 | Thermal Infrared Hyperspectral Image Inpainting |
| Dataset (including any stated split) | IH-10 b=0.5 (test) |
| Metric | PSNR |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 12 of 12 |
| 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/thermal-infrared-hyperspectral-image-inpainting-on-ih-10-b-0-5-test.md?metric=PSNR>): Higher is better; unit: SCALAR.

- [SSIM](<https://www.sota2.com/research/sota/thermal-infrared-hyperspectral-image-inpainting-on-ih-10-b-0-5-test.md?metric=SSIM>): Higher is better; unit: PERCENT.

- [ERGAS](<https://www.sota2.com/research/sota/thermal-infrared-hyperspectral-image-inpainting-on-ih-10-b-0-5-test.md?metric=ERGAS>): Lower is better; unit: SCALAR.

- [RMSE](<https://www.sota2.com/research/sota/thermal-infrared-hyperspectral-image-inpainting-on-ih-10-b-0-5-test.md?metric=RMSE>): Lower is better; unit: SCALAR.

- [SAM](<https://www.sota2.com/research/sota/thermal-infrared-hyperspectral-image-inpainting-on-ih-10-b-0-5-test.md?metric=SAM>): Lower is better; unit: SCALAR.

## Recorded results

| Method | PSNR | Result date | Report paper |
| --- | --- | --- | --- |
| HAIR | 49.6242 | Not recorded | 6a055729dbc836b87d828da2 |
| DIP2d | 46.6349 | Not recorded | 6a055729dbc836b87d828da2 |
| MST++ | 43.2806 | Not recorded | 6a055729dbc836b87d828da2 |
| E3DTV | 41.6048 | Not recorded | 6a055729dbc836b87d828da2 |
| ReSSS | 35.4133 | Not recorded | 6a055729dbc836b87d828da2 |
| DIP3d | 34.4997 | Not recorded | 6a055729dbc836b87d828da2 |
| SSRT | 29.8485 | Not recorded | 6a055729dbc836b87d828da2 |
| SERT | 29.5427 | Not recorded | 6a055729dbc836b87d828da2 |
| HLRTF | 28.8741 | Not recorded | 6a055729dbc836b87d828da2 |
| NGMeet | 27.4976 | Not recorded | 6a055729dbc836b87d828da2 |
| FHyIn | 26.0497 | Not recorded | 6a055729dbc836b87d828da2 |
| Noisy | 15.4292 | Not recorded | 6a055729dbc836b87d828da2 |

### HAIR

PSNR: 49.6242. Result ID: 6a0599cf47f34ce924ed0a17.

[Reporting paper](<https://www.sota2.com/research/paper/6a055729dbc836b87d828da2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a055729dbc836b87d828da2.md>)

Recorded evaluation configuration: {"Missing Level (b)":"0.5"}. This record does not assert independent reproduction.

### DIP2d

PSNR: 46.6349. Result ID: 6a0599cf47f34ce924ed0a11.

[Reporting paper](<https://www.sota2.com/research/paper/6a055729dbc836b87d828da2.md>)

Recorded evaluation configuration: {"Missing Level (b)":"0.5","Category":"Deep Learning Based Models"}. This record does not assert independent reproduction.

### MST++

PSNR: 43.2806. Result ID: 6a0599cf47f34ce924ed0a13.

[Reporting paper](<https://www.sota2.com/research/paper/6a055729dbc836b87d828da2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c5c1e209131cea33931.md>)

[Implementation](<https://github.com/caiyuanhao1998/MST-plus-plus>)

Recorded evaluation configuration: {"Missing Level (b)":"0.5","Category":"Deep Learning Based Models"}. This record does not assert independent reproduction.

### E3DTV

PSNR: 41.6048. Result ID: 6a0599cf47f34ce924ed0a0d.

[Reporting paper](<https://www.sota2.com/research/paper/6a055729dbc836b87d828da2.md>)

Recorded evaluation configuration: {"Missing Level (b)":"0.5","Category":"Model-based Algorithms"}. This record does not assert independent reproduction.

### ReSSS

PSNR: 35.4133. Result ID: 6a0599cf47f34ce924ed0a16.

[Reporting paper](<https://www.sota2.com/research/paper/6a055729dbc836b87d828da2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa732c1e209131cea5aee3.md>)

Recorded evaluation configuration: {"Missing Level (b)":"0.5","Category":"Deep Learning Based Models"}. This record does not assert independent reproduction.

### DIP3d

PSNR: 34.4997. Result ID: 6a0599cf47f34ce924ed0a12.

[Reporting paper](<https://www.sota2.com/research/paper/6a055729dbc836b87d828da2.md>)

Recorded evaluation configuration: {"Missing Level (b)":"0.5","Category":"Deep Learning Based Models"}. This record does not assert independent reproduction.

### SSRT

PSNR: 29.8485. Result ID: 6a0599cf47f34ce924ed0a14.

[Reporting paper](<https://www.sota2.com/research/paper/6a055729dbc836b87d828da2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73261e209131cea5ab59.md>)

Recorded evaluation configuration: {"Missing Level (b)":"0.5","Category":"Deep Learning Based Models"}. This record does not assert independent reproduction.

### SERT

PSNR: 29.5427. Result ID: 6a0599cf47f34ce924ed0a15.

[Reporting paper](<https://www.sota2.com/research/paper/6a055729dbc836b87d828da2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ef41e209131cea4324c.md>)

[Implementation](<https://github.com/MyuLi/SERT>)

Recorded evaluation configuration: {"Missing Level (b)":"0.5","Category":"Deep Learning Based Models"}. This record does not assert independent reproduction.

### HLRTF

PSNR: 28.8741. Result ID: 6a0599cf47f34ce924ed0a10.

[Reporting paper](<https://www.sota2.com/research/paper/6a055729dbc836b87d828da2.md>)

Recorded evaluation configuration: {"Missing Level (b)":"0.5","Category":"Model-based Algorithms"}. This record does not assert independent reproduction.

### NGMeet

PSNR: 27.4976. Result ID: 6a0599cf47f34ce924ed0a0e.

[Reporting paper](<https://www.sota2.com/research/paper/6a055729dbc836b87d828da2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68a31e209131cea1d577.md>)

Recorded evaluation configuration: {"Missing Level (b)":"0.5","Category":"Model-based Algorithms"}. This record does not assert independent reproduction.

### FHyIn

PSNR: 26.0497. Result ID: 6a0599cf47f34ce924ed0a0f.

[Reporting paper](<https://www.sota2.com/research/paper/6a055729dbc836b87d828da2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69801e209131cea227fd.md>)

Recorded evaluation configuration: {"Missing Level (b)":"0.5","Category":"Model-based Algorithms"}. This record does not assert independent reproduction.

### Noisy

PSNR: 15.4292. Result ID: 6a0599cf47f34ce924ed0a0c.

[Reporting paper](<https://www.sota2.com/research/paper/6a055729dbc836b87d828da2.md>)

Recorded evaluation configuration: {"Missing Level (b)":"0.5"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.
