- NO-REFERENCE IMAGE SHARPNESS ASSESSMENT BASED ON LOCAL PHASE COHERENCE MEASUREMENT [paper]
- Non-parametric Blur Map Regression for Depth of Field Extension [paper]
- Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes [code]
- LBP-based Segmentation of Defocus Blur [paper] [code]
- Discriminative Blur Detection Features [project]
- Blurred Image Region Detection and Classification [paper] [code]
- A Unified Approach of Multi-scale Deep and Hand-crafted Features for Defocus Estimation [paper]
- Learning to Understand Image Blur [paper]
- Deep Defocus Map Estimation using Domain Adaptation [paper]
- Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Fully Convolutional Network [paper]
- DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-scale Deep Features http://openaccess.thecvf.com/content_CVPR_2019/papers/Tang_DeFusionNET_Defocus_Blur_Detection_via_Recurrently_Fusing_and_Refining_Multi-Scale_CVPR_2019_paper.pdf
- Estimating Defocus Blur via Rank of Local Patches http://openaccess.thecvf.com/content_ICCV_2017/papers/Xu_Estimating_Defocus_Blur_ICCV_2017_paper.pdf
- DeepBlindness: Fast Blindness Map Estimation and Blindness Type Classification for Outdoor Scene from Single Color Image https://arxiv.org/pdf/1911.00652.pdf
- Self-supervised Blur Detection from Synthetically Blurred Scenes https://arxiv.org/pdf/1908.10638.pdf
- Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network [paper] [code]
- Blur detection via classification [code]
- [Shi et al.’s] CUHK dataset http://www.cse.cuhk.edu.hk/leojia/projects/dblurdetect/
- [E. C. Larson et al.’s] CSIQ Image Quality Database http://vision.eng.shizuoka.ac.jp/mod/page/view.php?id=23
- [Lee et al.’s] SYNDOF https://github.com/codeslake/SYNDOF
- [Wenda Zhao et al.’s] DUT-DBD http://ice.dlut.edu.cn/ZhaoWenda/BTBCRLNet.html
- [Alekseev A.] Blur detection dataset https://github.com/Kwentar/blur_dataset
- [github] Sharpness for autofocus https://github.com/russwong89/sharpness_detection_autofocus
- [!!! SOTA] https://arxiv.org/pdf/1912.10088.pdf
- [!!] https://arxiv.org/pdf/1806.02067v1.pdf
- [!!!] https://github.com/baidut/PaQ-2-PiQ
- [!!!!! SOTA] https://github.com/ysyscool/SGDNet
- [!!] https://github.com/subpic/koniq
- https://github.com/zwx8981/DBCNN-PyTorch
- https://github.com/idealo/image-quality-assessment/
- https://github.com/bukalapak/pybrisque
- [!!!] https://github.com/idiap/deepfocus
- [!!] https://ece.uwaterloo.ca/~z70wang/publications/icassp10a.pdf
- [!] https://github.com/umang-singhal/pydom
- [!] https://stackoverflow.com/questions/17887883/image-sharpness-metric
- [!] https://drive.google.com/file/d/0B6UHr3GQEkQwYnlDY2dKNTdudjg/view
- https://github.com/zjmlovlin/image_sharpness
- https://github.com/ZHANGXinxinPKU/defocus-deblurring/tree/master/Defocus_code_xxzhang/blur_map_image
- [!] https://stackoverflow.com/questions/7765810/is-there-a-way-to-detect-if-an-image-is-blurry
- https://lampsrv02.umiacs.umd.edu/pubs/Papers/jayantkumar-12b/jayantkumar-12b.pdf
- http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.88.5508&rep=rep1&type=pdf