Exposure Correction
19 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Exposure Correction
Most implemented papers
Dual Illumination Estimation for Robust Exposure Correction
By performing dual illumination estimation, we obtain two intermediate exposure correction results for the input image, with one fixes the underexposed regions and the other one restores the overexposed regions.
Learning Multi-Scale Photo Exposure Correction
In contrast, our proposed method targets both over- and underexposure errors in photographs.
A Two-stage Deep Network for High Dynamic Range Image Reconstruction
sharif-apu/twostageHDR_NTIRE21
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Notably, our proposed method aims to reconstruct an HDR image without knowing hardware information, including camera response function (CRF) and exposure settings.
Luminance-aware Color Transform for Multiple Exposure Correction
Images captured with irregular exposures inevitably present unsatisfactory visual effects, such as distorted hue and color tone.
FCNet: A Convolutional Neural Network for Arbitrary-Length Exposure Estimation
For image exposure enhancement, the tasks of Single-Exposure Correction (SEC) and Multi-Exposure Fusion (MEF) are widely studied in the image processing community.
Exposure Correction Model to Enhance Image Quality
yamand16/exposurecorrection
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We show that after applying exposure correction with the proposed model, the portrait matting quality increases significantly.
You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction
cuiziteng/illumination-adaptive-transformer
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Challenging illumination conditions (low-light, under-exposure and over-exposure) in the real world not only cast an unpleasant visual appearance but also taint the computer vision tasks.
R2C-GAN: Restore-to-Classify Generative Adversarial Networks for Blind X-Ray Restoration and COVID-19 Classification
The proposed restoration approach achieves over 90% F1-Score which is significantly higher than the performance of any deep model.
CNN Injected Transformer for Image Exposure Correction
Capturing images with incorrect exposure settings fails to deliver a satisfactory visual experience.
4K-Resolution Photo Exposure Correction at 125 FPS with ~8K Parameters
The illumination of improperly exposed photographs has been widely corrected using deep convolutional neural networks or Transformers.
