# Thermal Infrared Hyperspectral Image Inpainting on IH-10 b=0.2 (test) Source: [Thermal Infrared Hyperspectral Image Inpainting on IH-10 b=0.2 (test)]() Collection index: [llms.txt]() Data updated: 2026-05-14T09:46:01.111Z Evaluation of Thermal Infrared Hyperspectral Image Inpainting performance on the IH-10 dataset (b=0.2 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=0.2 (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](): Higher is better; unit: SCALAR. - [SSIM](): Higher is better; unit: SCALAR. - [ERGAS](): Lower is better; unit: SCALAR. - [RMSE](): Lower is better; unit: SCALAR. - [SAM](): Lower is better; unit: SCALAR. ## Recorded results | Method | PSNR | Result date | Report paper | | --- | --- | --- | --- | | HAIR | 52.2184 | Not recorded | 6a055729dbc836b87d828da2 | | MST++ | 47.6966 | Not recorded | 6a055729dbc836b87d828da2 | | DIP2d | 47.2119 | Not recorded | 6a055729dbc836b87d828da2 | | E3DTV | 42.3335 | Not recorded | 6a055729dbc836b87d828da2 | | ReSSS | 36.6406 | Not recorded | 6a055729dbc836b87d828da2 | | DIP3d | 36.3671 | Not recorded | 6a055729dbc836b87d828da2 | | SSRT | 33.0055 | Not recorded | 6a055729dbc836b87d828da2 | | NGMeet | 32.9267 | Not recorded | 6a055729dbc836b87d828da2 | | SERT | 31.7435 | Not recorded | 6a055729dbc836b87d828da2 | | HLRTF | 28.1605 | Not recorded | 6a055729dbc836b87d828da2 | | FHyIn | 28.0998 | Not recorded | 6a055729dbc836b87d828da2 | | Noisy | 19.5281 | Not recorded | 6a055729dbc836b87d828da2 | ### HAIR PSNR: 52.2184. Result ID: 6a0599cf47f34ce924ed09ff. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.2"}. This record does not assert independent reproduction. ### MST++ PSNR: 47.6966. Result ID: 6a0599cf47f34ce924ed09fb. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Missing Level (b)":"0.2","Category":"Deep Learning Based Models"}. This record does not assert independent reproduction. ### DIP2d PSNR: 47.2119. Result ID: 6a0599cf47f34ce924ed09f9. [Reporting paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.2","Category":"Deep Learning Based Models"}. This record does not assert independent reproduction. ### E3DTV PSNR: 42.3335. Result ID: 6a0599cf47f34ce924ed09f5. [Reporting paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.2","Category":"Model-based Algorithms"}. This record does not assert independent reproduction. ### ReSSS PSNR: 36.6406. Result ID: 6a0599cf47f34ce924ed09fe. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.2","Category":"Deep Learning Based Models"}. This record does not assert independent reproduction. ### DIP3d PSNR: 36.3671. Result ID: 6a0599cf47f34ce924ed09fa. [Reporting paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.2","Category":"Deep Learning Based Models"}. This record does not assert independent reproduction. ### SSRT PSNR: 33.0055. Result ID: 6a0599cf47f34ce924ed09fc. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.2","Category":"Deep Learning Based Models"}. This record does not assert independent reproduction. ### NGMeet PSNR: 32.9267. Result ID: 6a0599cf47f34ce924ed09f6. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.2","Category":"Model-based Algorithms"}. This record does not assert independent reproduction. ### SERT PSNR: 31.7435. Result ID: 6a0599cf47f34ce924ed09fd. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Missing Level (b)":"0.2","Category":"Deep Learning Based Models"}. This record does not assert independent reproduction. ### HLRTF PSNR: 28.1605. Result ID: 6a0599cf47f34ce924ed09f8. [Reporting paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.2","Category":"Model-based Algorithms"}. This record does not assert independent reproduction. ### FHyIn PSNR: 28.0998. Result ID: 6a0599cf47f34ce924ed09f7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.2","Category":"Model-based Algorithms"}. This record does not assert independent reproduction. ### Noisy PSNR: 19.5281. Result ID: 6a0599cf47f34ce924ed09f4. [Reporting paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.2"}. 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