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Seven ways to improve example-based single image super resolution

arXiv 1511.02228 ↗First posted 6 Nov 2015cs.CVcited by 51

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Abstract (arXiv)

In this paper we present seven techniques that everybody should know to improve example-based single image super resolution (SR): 1) augmentation of data, 2) use of large dictionaries with efficient search structures, 3) cascading, 4) image self-similarities, 5) back projection refinement, 6) enhanced prediction by consistency check, and 7) context reasoning. We validate our seven techniques on standard SR benchmarks (i.e. Set5, Set14, B100) and methods (i.e. A+, SRCNN, ANR, Zeyde, Yang) and achieve substantial improvements.The techniques are widely applicable and require no changes or only minor adjustments of the SR methods. Moreover, our Improved A+ (IA) method sets new state-of-the-art results outperforming A+ by up to 0.9dB on average PSNR whilst maintaining a low time complexity.

Key facts. Cited by 51 papers in the map (data through 14 Oct 2026). First posted on arXiv 6 Nov 2015.

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Citing papers per year: 2021: 12; 2022: 14; 2023: 4; 2024: 11; 2025: 2; 2026: 8.

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  1. 2022Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restorationcited by 73
  2. 2022C2N: Practical Generative Noise Modeling for Real-World Denoisingcited by 56
  3. 2021NTIRE 2021 Challenge on Image Deblurringcited by 50
  4. 2024DRCT: Saving Image Super-resolution away from Information Bottleneckcited by 40
  5. 2024NTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Resultscited by 40
  6. 2021NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Resultscited by 36
  7. 2021Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Reportcited by 34
  8. 2021NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Resultscited by 26
  9. 2023Equivariant plug-and-play image reconstructioncited by 26
  10. 2022Variational Deep Image Restorationcited by 24
  11. 2024DVMSR: Distillated Vision Mamba for Efficient Super-Resolutioncited by 24
  12. 2021A Comprehensive Review of Deep Learning-based Single Image Super-resolutioncited by 23
38 more
  1. 2025The Tenth NTIRE 2025 Image Denoising Challenge Reportcited by 21
  2. 2022NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Resultscited by 20
  3. 2022AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Resultscited by 20
  4. 2021A Systematic Survey of Deep Learning-based Single-Image Super-Resolutioncited by 19
  5. 2022Cross-receptive Focused Inference Network for Lightweight Image Super-Resolutioncited by 16
  6. 2022Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Reportcited by 16
  7. 2022MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Resultscited by 14
  8. 2026NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Resultscited by 14
  9. 2022NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Resultscited by 12
  10. 2024MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Resultscited by 11
  11. 2026The Fourth Challenge on Image Super-Resolution (×4) at NTIRE 2026: Benchmark Results and Method Overviewcited by 10
  12. 2021NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Studycited by 9
  13. 2022Progressive Training of A Two-Stage Framework for Video Restorationcited by 7
  14. 2023Depth Estimation and Image Restoration by Deep Learning from Defocused Imagescited by 7
  15. 2023NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Resultscited by 7
  16. 2026From Zero to Detail: A Progressive Spectral Decoupling Paradigm for UHD Image Restoration with New Benchmarkcited by 7
  17. 2026The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overviewcited by 7
  18. 2022AIM 2022 Challenge on Instagram Filter Removal: Methods and Resultscited by 6
  19. 2023Thera: Aliasing-Free Arbitrary-Scale Super-Resolution with Neural Heat Fieldscited by 6
  20. 2026Robust Deepfake Detection, NTIRE 2026 Challenge: Reportcited by 6
  21. 2022Conformer and Blind Noisy Students for Improved Image Quality Assessmentcited by 5
  22. 2022Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillationcited by 5
  23. 2024Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolutioncited by 5
  24. 2021Scale-Aware Dynamic Network for Continuous-Scale Super-Resolutioncited by 4
  25. 2021Selfie Periocular Verification using an Efficient Super-Resolution Approachcited by 3
  26. 2024SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolutioncited by 2
  27. 2026The First Controllable Bokeh Rendering Challenge at NTIRE 2026cited by 2
  28. 2021Zero-shot super-resolution with a physically-motivated downsampling kernel for endomicroscopycited by 1
  29. 2024MaskBlur: Spatial and Angular Data Augmentation for Light Field Image Super-Resolutioncited by 1
  30. 2024HASN: Hybrid Attention Separable Network for Efficient Image Super-resolutioncited by 1
  31. 2024EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Modelscited by 1
  32. 2026Enhancing Low-resolution Image Representation Through Normalizing Flowscited by 1
  33. 2026The Third Challenge on Image Denoising at NTIRE 2026: Methods and Resultscited by 1
  34. 2021Variational Deep Image Denoisingcited by 0
  35. 2021Kernel Adversarial Learning for Real-world Image Super-resolutioncited by 0
  36. 2022Real Image Super-Resolution using GAN through modeling of LR and HR processcited by 0
  37. 2024NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Resultscited by 0
  38. 2024A Single-Frame and Multi-Frame Cascaded Image Super-Resolution Methodcited by 0

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