mlsanityData to 7 Oct 2026

A Review Paper: Noise Models in Digital Image Processing

arXiv 1505.03489 ↗First posted 13 May 2015cs.CVcited by 23

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Abstract (arXiv)

Noise is always presents in digital images during image acquisition, coding, transmission, and processing steps. Noise is very difficult to remove it from the digital images without the prior knowledge of noise model. That is why, review of noise models are essential in the study of image denoising techniques. In this paper, we express a brief overview of various noise models. These noise models can be selected by analysis of their origin. In this way, we present a complete and quantitative analysis of noise models available in digital images.

Key facts. Cited by 23 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 May 2015.

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Citing papers per year: 2021: 5; 2022: 3; 2023: 3; 2024: 5; 2025: 5; 2026: 2.

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  1. 2021MultiBench: Multiscale Benchmarks for Multimodal Representation Learningcited by 143
  2. 2021Stochastic Image Denoising by Sampling from the Posterior Distributioncited by 45
  3. 2023S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fieldscited by 25
  4. 2024AI-generated Image Detection: Passive or Watermark?cited by 7
  5. 2022Random Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical Datasetscited by 6
  6. 2025Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Modelscited by 6
  7. 2022Geodesic Gramian Denoising Applied to the Images Contaminated With Noise Sampled From Diverse Probability Distributionscited by 2
  8. 2023Quantum Image Denoising: A Framework via Boltzmann Machines, QUBO, and Quantum Annealingcited by 2
  9. 2021Analysis of the robustness of NMF algorithmscited by 1
  10. 2022SEMI-FND: Stacked Ensemble Based Multimodal Inference For Faster Fake News Detectioncited by 1
  11. 2023Boosting Cross-Quality Face Verification using Blind Face Restorationcited by 1
  12. 2024Analyzing Noise Models and Advanced Filtering Algorithms for Image Enhancementcited by 1
11 more
  1. 2021A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performercited by 0
  2. 2021Improvised Aerial Object Detection approach for YOLOv3 Using Weighted Luminancecited by 0
  3. 2024Advancing Generative Model Evaluation: A Novel Algorithm for Realistic Image Synthesis and Comparison in OCR Systemcited by 0
  4. 2024Neural Field Classifiers via Target Encoding and Classification Losscited by 0
  5. 2024Zero-Shot Image Denoising for High-Resolution Electron Microscopycited by 0
  6. 2025Momentum Boosted Episodic Memory for Improving Learning in Long-Tailed RL Environmentscited by 0
  7. 2025A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurementscited by 0
  8. 2025Benchmarking M-LTSF: Frequency and Noise-Based Evaluation of Multivariate Long Time Series Forecasting Modelscited by 0
  9. 2025CARD: Correlation Aware Restoration with Diffusioncited by 0
  10. 2026Comparative Evaluation of Traditional Methods and Deep Learning for Brain Glioma Imaging. Review Papercited by 0
  11. 2026A Multiscale Kinetic Framework for Image Segmentation: From Particle Systems to Continuum Modelscited by 0