mlsanityData to 7 Oct 2026

Mobile Computational Photography: A Tour

arXiv 2102.09000 ↗First posted 17 Feb 2021cs.CV eess.IVcited by 62

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Abstract (arXiv)

The first mobile camera phone was sold only 20 years ago, when taking pictures with one's phone was an oddity, and sharing pictures online was unheard of. Today, the smartphone is more camera than phone. How did this happen? This transformation was enabled by advances in computational photography -the science and engineering of making great images from small form factor, mobile cameras. Modern algorithmic and computing advances, including machine learning, have changed the rules of photography, bringing to it new modes of capture, post-processing, storage, and sharing. In this paper, we give a brief history of mobile computational photography and describe some of the key technological components, including burst photography, noise reduction, and super-resolution. At each step, we may draw naive parallels to the human visual system.

Key facts. Cited by 62 papers in the map (data through 7 Oct 2026). Builds on 25 of its 92 references that are in the map. First posted on arXiv 17 Feb 2021.

Builds on

25 of 92 references.

References · 25

  1. 2016Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoisingcited by 1,352
  2. 2017PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volumecited by 966
  3. 2017FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoisingcited by 509
  4. 2017NIMA: Neural Image Assessmentcited by 387
  5. 2019Deep Learning for Image Super-resolution: A Surveycited by 368
  6. 2017MemNet: A Persistent Memory Network for Image Restorationcited by 244
  7. 2017Benchmarking Denoising Algorithms with Real Photographscited by 209
  8. 2018Multi-level Wavelet-CNN for Image Restorationcited by 184
  9. 2018Residual Dense Network for Image Restorationcited by 181
  10. 2018Non-Local Recurrent Network for Image Restorationcited by 160
  11. 2017Burst Denoising with Kernel Prediction Networkscited by 156
  12. 2020Replacing Mobile Camera ISP with a Single Deep Learning Modelcited by 108
13 more
  1. 2017Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problemscited by 107
  2. 2018DeepISP: Towards Learning an End-to-End Image Processing Pipelinecited by 88
  3. 2019Handheld Multi-Frame Super-Resolutioncited by 85
  4. 2018Synthetic Depth-of-Field with a Single-Camera Mobile Phonecited by 70
  5. 2019Handheld Mobile Photography in Very Low Lightcited by 56
  6. 2017Deep Burst Denoisingcited by 49
  7. 2016Fast Fourier Color Constancycited by 37
  8. 2016RAISR: Rapid and Accurate Image Super Resolutioncited by 27
  9. 2015On learning optimized reaction diffusion processes for effective image restorationcited by 25
  10. 2020Polyblur: Removing mild blur by polynomial reblurringcited by 13
  11. 2018Class-Aware Fully-Convolutional Gaussian and Poisson Denoisingcited by 12
  12. 2018Convolutional Deblurring for Natural Imagingcited by 9
  13. 2016Which tone-mapping operator is the best? A comparative study of perceptual qualitycited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 6; 2023: 8; 2024: 12; 2025: 21; 2026: 11.

62 papers.

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  1. 2021NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Imagescited by 336
  2. 2021Burst Image Restoration and Enhancementcited by 64
  3. 2024DarkIR: Robust Low-Light Image Restorationcited by 48
  4. 2022Model-Based Image Signal Processors via Learnable Dictionariescited by 43
  5. 2023Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumptioncited by 35
  6. 2023NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancementcited by 31
  7. 2024RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Imagescited by 19
  8. 2022Self-Supervised Image Restoration with Blurry and Noisy Pairscited by 17
  9. 2023Neural Spline Fields for Burst Image Fusion and Layer Separationcited by 16
  10. 2021The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinementcited by 13
  11. 2022Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Reportcited by 11
  12. 2023Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancementcited by 11
38 more
  1. 2023BSRAW: Improving Blind RAW Image Super-Resolutioncited by 11
  2. 2024Rawformer: Unpaired Raw-to-Raw Translation for Learnable Camera ISPscited by 11
  3. 2022Event-based Image Deblurring with Dynamic Motion Awarenesscited by 10
  4. 2025Time-Aware Auto White Balance in Mobile Photographycited by 10
  5. 2022Measuring Perceptual Color Differences of Smartphone Photographscited by 8
  6. 2022Shakes on a Plane: Unsupervised Depth Estimation from Unstabilized Photographycited by 8
  7. 2024Dual-Branch Network for Portrait Image Quality Assessmentcited by 8
  8. 2025CCMNet: Leveraging Calibrated Color Correction Matrices for Cross-Camera Color Constancycited by 8
  9. 2025PhotoFramer: Multi-modal Image Composition Instructioncited by 8
  10. 2024Toward Efficient Deep Blind RAW Image Restorationcited by 7
  11. 2024HR-INR: Continuous Space-Time Video Super-Resolution via Event Cameracited by 6
  12. 2023RBSR: Efficient and Flexible Recurrent Network for Burst Super-Resolutioncited by 5
  13. 2024Optimizing Illuminant Estimation in Dual-Exposure HDR Imagingcited by 5
  14. 2025A Physics-Informed Blur Learning Framework for Imaging Systemscited by 5
  15. 2025Dark-ISP: Enhancing RAW Image Processing for Low-Light Object Detectioncited by 5
  16. 2024Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priorscited by 4
  17. 2024Efficient Neural Network Encoding for 3D Color Lookup Tablescited by 4
  18. 2025Discovering an Image-Adaptive Coordinate System for Photography Processingcited by 4
  19. 2025Fully AI-Generated Image Detection: Definition, Recent Advances and Challengescited by 4
  20. 2025Color Matching Using Hypernetwork-Based Kolmogorov-Arnold Networkscited by 4
  21. 2025RAW Image Reconstruction from RGB on Smartphones. NTIRE 2025 Challenge Reportcited by 4
  22. 2024INRetouch: Context Aware Implicit Neural Representation for Photography Retouchingcited by 3
  23. 2026RAWild: Sensor-Agnostic RAW Object Detection via Physics-Guided Curve and Grid Modelingcited by 3
  24. 2024Simple Image Signal Processing using Global Context Guidancecited by 2
  25. 2024Causality-Driven Audits of Model Robustnesscited by 2
  26. 2025RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images and A Benchmarkcited by 2
  27. 2025Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tablescited by 2
  28. 2025Towards Unified Image Deblurring using a Mixture-of-Experts Decodercited by 2
  29. 2021RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Networkcited by 1
  30. 2023Web Photo Source Identification based on Neural Enhanced Camera Fingerprintcited by 1
  31. 2025MFSR-GAN: Multi-Frame Super-Resolution with Handheld Motion Modelingcited by 1
  32. 2025Double Blind Imaging with Generative Modelingcited by 1
  33. 2025Deepfakes: we need to re-think the concept of "real" imagescited by 1
  34. 2025Off the Planckian Locus: Using 2D Chromaticity to Improve In-Camera Colorcited by 1
  35. 2025Experts-Guided Unbalanced Optimal Transport for ISP Learning from Unpaired and/or Paired Datacited by 1
  36. 2026Addressing Image Authenticity When Cameras Use Generative AIcited by 1
  37. 2023Fine Dense Alignment of Image Bursts through Camera Pose and Depth Estimationcited by 0
  38. 2025RETHINED: A New Benchmark and Baseline for Real-Time High-Resolution Image Inpainting On Edge Devicescited by 0

50 most cited of 62 All 62 (JSON)