# Exposure Correction on Introduced -1 and -1.5 relative EVs 1.0 (test)

Source: [Exposure Correction on Introduced -1 and -1.5 relative EVs 1.0 (test)](<https://www.sota2.com/research/sota/exposure-correction-on-introduced-1-and-1-5-relative-evs-1-0-test>)

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

Data updated: 2026-02-26T05:57:05.775Z

Evaluation of Exposure Correction performance on the 'Introduced -1 and -1.5 relative EVs 1.0' test split, utilizing expert-specific and averaged PSNR/SSIM metrics, along with PI.

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 | Exposure Correction |
| Dataset (including any stated split) | Introduced -1 and -1.5 relative EVs 1.0 (test) |
| Metric | PSNR (Expert A) |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 18 of 18 |
| 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 (Expert A)](<https://www.sota2.com/research/sota/exposure-correction-on-introduced-1-and-1-5-relative-evs-1-0-test.md?metric=PSNR%20(Expert%20A)>): Higher is better; unit: SCALAR.

- [SSIM (Expert A)](<https://www.sota2.com/research/sota/exposure-correction-on-introduced-1-and-1-5-relative-evs-1-0-test.md?metric=SSIM%20(Expert%20A)>): Higher is better; unit: SCALAR.

- [PSNR (Expert B)](<https://www.sota2.com/research/sota/exposure-correction-on-introduced-1-and-1-5-relative-evs-1-0-test.md?metric=PSNR%20(Expert%20B)>): Higher is better; unit: SCALAR.

- [SSIM (Expert B)](<https://www.sota2.com/research/sota/exposure-correction-on-introduced-1-and-1-5-relative-evs-1-0-test.md?metric=SSIM%20(Expert%20B)>): Higher is better; unit: SCALAR.

- [PSNR (Expert C)](<https://www.sota2.com/research/sota/exposure-correction-on-introduced-1-and-1-5-relative-evs-1-0-test.md?metric=PSNR%20(Expert%20C)>): Higher is better; unit: SCALAR.

- [SSIM (Expert C)](<https://www.sota2.com/research/sota/exposure-correction-on-introduced-1-and-1-5-relative-evs-1-0-test.md?metric=SSIM%20(Expert%20C)>): Higher is better; unit: SCALAR.

- [PSNR (Expert D)](<https://www.sota2.com/research/sota/exposure-correction-on-introduced-1-and-1-5-relative-evs-1-0-test.md?metric=PSNR%20(Expert%20D)>): Higher is better; unit: SCALAR.

- [SSIM (Expert D)](<https://www.sota2.com/research/sota/exposure-correction-on-introduced-1-and-1-5-relative-evs-1-0-test.md?metric=SSIM%20(Expert%20D)>): Higher is better; unit: SCALAR.

- [PSNR (Expert E)](<https://www.sota2.com/research/sota/exposure-correction-on-introduced-1-and-1-5-relative-evs-1-0-test.md?metric=PSNR%20(Expert%20E)>): Higher is better; unit: SCALAR.

- [SSIM (Expert E)](<https://www.sota2.com/research/sota/exposure-correction-on-introduced-1-and-1-5-relative-evs-1-0-test.md?metric=SSIM%20(Expert%20E)>): Higher is better; unit: SCALAR.

- [Avg. PSNR](<https://www.sota2.com/research/sota/exposure-correction-on-introduced-1-and-1-5-relative-evs-1-0-test.md?metric=Avg.%20PSNR>): Higher is better; unit: SCALAR.

- [Avg. SSIM](<https://www.sota2.com/research/sota/exposure-correction-on-introduced-1-and-1-5-relative-evs-1-0-test.md?metric=Avg.%20SSIM>): Higher is better; unit: SCALAR.

- [PI](<https://www.sota2.com/research/sota/exposure-correction-on-introduced-1-and-1-5-relative-evs-1-0-test.md?metric=PI>): Higher is better; unit: SCALAR.

## Recorded results

| Method | PSNR (Expert A) | Result date | Report paper |
| --- | --- | --- | --- |
| DPE | 20.153 | Not recorded | 68fa69981e209131cea22ee4 |
| DPED | 19.519 | Not recorded | 68fa69981e209131cea22ee4 |
| coarse-to-fine DNN | 19.475 | Not recorded | 68fa69981e209131cea22ee4 |
| coarse-to-fine DNN | 19.432 | Not recorded | 68fa69981e209131cea22ee4 |
| DPE | 19.13 | Not recorded | 68fa69981e209131cea22ee4 |
| DPED | 18.952 | Not recorded | 68fa69981e209131cea22ee4 |
| DPED | 18.814 | Not recorded | 68fa69981e209131cea22ee4 |
| Deep UPE | 17.832 | Not recorded | 68fa69981e209131cea22ee4 |
| WVM | 17.686 | Not recorded | 68fa69981e209131cea22ee4 |
| DPE | 17.625 | Not recorded | 68fa69981e209131cea22ee4 |
| HDR CNN | 17.324 | Not recorded | 68fa69981e209131cea22ee4 |
| CLAHE | 16.31 | Not recorded | 68fa69981e209131cea22ee4 |
| HE | 16.158 | Not recorded | 68fa69981e209131cea22ee4 |
| HQEC | 15.801 | Not recorded | 68fa69981e209131cea22ee4 |
| HDR CNN | 14.547 | Not recorded | 68fa69981e209131cea22ee4 |
| Zero-DCE | 13.935 | Not recorded | 68fa69981e209131cea22ee4 |
| LIME | 13.444 | Not recorded | 68fa69981e209131cea22ee4 |
| RetinexNet | 11.676 | Not recorded | 68fa69981e209131cea22ee4 |

### DPE

PSNR (Expert A): 20.153. Result ID: 698dbe098b517eb433237312.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

Recorded evaluation configuration: {"Variant":"S-FiveK","Supervision":"Supervised"}. This record does not assert independent reproduction.

### DPED

PSNR (Expert A): 19.519. Result ID: 698dbe098b517eb43323730e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa639c1e209131ce9ffa70.md>)

Recorded evaluation configuration: {"Model Backbone":"BlackBerry"}. This record does not assert independent reproduction.

### coarse-to-fine DNN

PSNR (Expert A): 19.475. Result ID: 698dbe098b517eb433237318.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

[Implementation](<https://github.com/mahmoudnafifi/Exposure_Correction>)

Recorded evaluation configuration: {"Adversarial Loss":"w/ Ladv"}. This record does not assert independent reproduction.

### coarse-to-fine DNN

PSNR (Expert A): 19.432. Result ID: 698dbe098b517eb433237317.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

[Implementation](<https://github.com/mahmoudnafifi/Exposure_Correction>)

Recorded evaluation configuration: {"Adversarial Loss":"w/o Ladv"}. This record does not assert independent reproduction.

### DPE

PSNR (Expert A): 19.13. Result ID: 698dbe098b517eb433237311.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

Recorded evaluation configuration: {"Variant":"U-FiveK","Supervision":"Unsupervised"}. This record does not assert independent reproduction.

### DPED

PSNR (Expert A): 18.952. Result ID: 698dbe098b517eb43323730f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa639c1e209131ce9ffa70.md>)

Recorded evaluation configuration: {"Model Backbone":"Sony"}. This record does not assert independent reproduction.

### DPED

PSNR (Expert A): 18.814. Result ID: 698dbe098b517eb43323730d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa639c1e209131ce9ffa70.md>)

Recorded evaluation configuration: {"Model Backbone":"iPhone"}. This record does not assert independent reproduction.

### Deep UPE

PSNR (Expert A): 17.832. Result ID: 698dbe098b517eb433237315.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

Recorded evaluation configuration: {"optimized for":"underexposure correction"}. This record does not assert independent reproduction.

### WVM

PSNR (Expert A): 17.686. Result ID: 698dbe098b517eb433237309.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

Recorded evaluation configuration: {"non-deep learning":true}. This record does not assert independent reproduction.

### DPE

PSNR (Expert A): 17.625. Result ID: 698dbe098b517eb433237310.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

Recorded evaluation configuration: {"Variant":"HDR"}. This record does not assert independent reproduction.

### HDR CNN

PSNR (Expert A): 17.324. Result ID: 698dbe098b517eb43323730c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63d11e209131cea00e2e.md>)

[Implementation](<https://github.com/gabrieleilertsen/hdrcnn>)

Recorded evaluation configuration: {"Refining Module":"PS"}. This record does not assert independent reproduction.

### CLAHE

PSNR (Expert A): 16.31. Result ID: 698dbe098b517eb433237308.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

Recorded evaluation configuration: {"non-deep learning":true}. This record does not assert independent reproduction.

### HE

PSNR (Expert A): 16.158. Result ID: 698dbe098b517eb433237307.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

Recorded evaluation configuration: {"non-deep learning":true}. This record does not assert independent reproduction.

### HQEC

PSNR (Expert A): 15.801. Result ID: 698dbe098b517eb433237313.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

Recorded evaluation configuration: {"non-deep learning":true}. This record does not assert independent reproduction.

### HDR CNN

PSNR (Expert A): 14.547. Result ID: 698dbe098b517eb43323730b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63d11e209131cea00e2e.md>)

[Implementation](<https://github.com/gabrieleilertsen/hdrcnn>)

Recorded evaluation configuration: {"Refining Module":"RHT"}. This record does not assert independent reproduction.

### Zero-DCE

PSNR (Expert A): 13.935. Result ID: 698dbe098b517eb433237316.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67421e209131cea15513.md>)

[Implementation](<https://li-chongyi.github.io/Proj_Zero-DCE.html/>)

Recorded evaluation configuration: {"optimized for":"underexposure correction"}. This record does not assert independent reproduction.

### LIME

PSNR (Expert A): 13.444. Result ID: 698dbe098b517eb43323730a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

Recorded evaluation configuration: {"non-deep learning":true,"optimized for":"underexposure correction"}. This record does not assert independent reproduction.

### RetinexNet

PSNR (Expert A): 11.676. Result ID: 698dbe098b517eb433237314.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22ee4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64bf1e209131cea06438.md>)

Recorded evaluation configuration: {"optimized for":"underexposure correction"}. This record does not assert independent reproduction.

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