# Thermal Infrared Hyperspectral Image Inpainting on IH-10 b=0.3 (test) Source: [Thermal Infrared Hyperspectral Image Inpainting on IH-10 b=0.3 (test)]() Collection index: [llms.txt]() Data updated: 2026-05-14T09:46:01.144Z Evaluation of thermal infrared hyperspectral image inpainting performance on the IH-10 b=0.3 test split, measured using reconstruction quality metrics (PSNR, SSIM, ERGAS, RMSE, 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=0.3 (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: PERCENT. - [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 | 52.2215 | Not recorded | 6a055729dbc836b87d828da2 | | DIP2d | 46.434 | Not recorded | 6a055729dbc836b87d828da2 | | MST++ | 45.7544 | Not recorded | 6a055729dbc836b87d828da2 | | E3DTV | 42.267 | Not recorded | 6a055729dbc836b87d828da2 | | ReSSS | 36.2579 | Not recorded | 6a055729dbc836b87d828da2 | | DIP3d | 32.1854 | Not recorded | 6a055729dbc836b87d828da2 | | SSRT | 31.7052 | Not recorded | 6a055729dbc836b87d828da2 | | SERT | 30.055 | Not recorded | 6a055729dbc836b87d828da2 | | NGMeet | 29.8769 | Not recorded | 6a055729dbc836b87d828da2 | | HLRTF | 28.1547 | Not recorded | 6a055729dbc836b87d828da2 | | FHyIn | 27.1996 | Not recorded | 6a055729dbc836b87d828da2 | | Noisy | 17.6204 | Not recorded | 6a055729dbc836b87d828da2 | ### HAIR PSNR: 52.2215. Result ID: 6a0599cf47f34ce924ed0a0b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.3"}. This record does not assert independent reproduction. ### DIP2d PSNR: 46.434. Result ID: 6a0599cf47f34ce924ed0a05. [Reporting paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.3","Category":"Deep Learning Based Models"}. This record does not assert independent reproduction. ### MST++ PSNR: 45.7544. Result ID: 6a0599cf47f34ce924ed0a07. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Missing Level (b)":"0.3","Category":"Deep Learning Based Models"}. This record does not assert independent reproduction. ### E3DTV PSNR: 42.267. Result ID: 6a0599cf47f34ce924ed0a01. [Reporting paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.3","Category":"Model-based Algorithms"}. This record does not assert independent reproduction. ### ReSSS PSNR: 36.2579. Result ID: 6a0599cf47f34ce924ed0a0a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.3","Category":"Deep Learning Based Models"}. This record does not assert independent reproduction. ### DIP3d PSNR: 32.1854. Result ID: 6a0599cf47f34ce924ed0a06. [Reporting paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.3","Category":"Deep Learning Based Models"}. This record does not assert independent reproduction. ### SSRT PSNR: 31.7052. Result ID: 6a0599cf47f34ce924ed0a08. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.3","Category":"Deep Learning Based Models"}. This record does not assert independent reproduction. ### SERT PSNR: 30.055. Result ID: 6a0599cf47f34ce924ed0a09. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Missing Level (b)":"0.3","Category":"Deep Learning Based Models"}. This record does not assert independent reproduction. ### NGMeet PSNR: 29.8769. Result ID: 6a0599cf47f34ce924ed0a02. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.3","Category":"Model-based Algorithms"}. This record does not assert independent reproduction. ### HLRTF PSNR: 28.1547. Result ID: 6a0599cf47f34ce924ed0a04. [Reporting paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.3","Category":"Model-based Algorithms"}. This record does not assert independent reproduction. ### FHyIn PSNR: 27.1996. Result ID: 6a0599cf47f34ce924ed0a03. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.3","Category":"Model-based Algorithms"}. This record does not assert independent reproduction. ### Noisy PSNR: 17.6204. Result ID: 6a0599cf47f34ce924ed0a00. [Reporting paper]() Recorded evaluation configuration: {"Missing Level (b)":"0.3"}. 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