Deep Learning for Image Denoising: A Survey
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Abstract (arXiv)
Since the proposal of big data analysis and Graphic Processing Unit (GPU), the deep learning technology has received a great deal of attention and has been widely applied in the field of imaging processing. In this paper, we have an aim to completely review and summarize the deep learning technologies for image denoising proposed in recent years. Morever, we systematically analyze the conventional machine learning methods for image denoising. Finally, we point out some research directions for the deep learning technologies in image denoising.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Oct 2018.
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Citing papers per year: 2021: 3; 2022: 3; 2023: 3; 2024: 2.
11 papers.
- 2021Uformer: A General U-Shaped Transformer for Image Restorationcited by 864
- 2021Model-Based Machine Learning for Communicationscited by 7
- 2023Joint Multi-Scale Tone Mapping and Denoising for HDR Image Enhancementcited by 7
- 2022CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesiscited by 4
- 2022End-to-End Learned Block-Based Image Compression with Block-Level Masked Convolutions and Asymptotic Closed Loop Trainingcited by 2
- 2023Transforming Pixels into a Masterpiece: AI-Powered Art Restoration using a Novel Distributed Denoising CNN (DDCNN)cited by 2
- 2023ReBotNet: Fast Real-time Video Enhancementcited by 1
- 2021Cascading Modular Network (CAM-Net) for Multimodal Image Synthesiscited by 0
- 2022EraseNet: A Recurrent Residual Network for Supervised Document Cleaningcited by 0
- 2024RSEND: Retinex-based Squeeze and Excitation Network with Dark Region Detection for Efficient Low Light Image Enhancementcited by 0
- 2024Detection of Under-represented Samples Using Dynamic Batch Training for Brain Tumor Segmentation from MR Imagescited by 0
- 2024Detection of Under-represented Samples Using Dynamic Batch Training for Brain Tumor Segmentation from MR Images21 Aug 2024
- 2024RSEND: Retinex-based Squeeze and Excitation Network with Dark Region Detection for Efficient Low Light Image Enhancement14 Jun 2024
- 2023Transforming Pixels into a Masterpiece: AI-Powered Art Restoration using a Novel Distributed Denoising CNN (DDCNN)8 Oct 2023
- 2023ReBotNet: Fast Real-time Video Enhancement23 Mar 2023
- 2023Joint Multi-Scale Tone Mapping and Denoising for HDR Image Enhancement16 Mar 2023
- 2022CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis25 Nov 2022
- 2022EraseNet: A Recurrent Residual Network for Supervised Document Cleaning3 Oct 2022
- 2022End-to-End Learned Block-Based Image Compression with Block-Level Masked Convolutions and Asymptotic Closed Loop Training22 Mar 2022
- 2021Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis16 Jun 2021
- 2021Uformer: A General U-Shaped Transformer for Image Restoration6 Jun 2021
- 2021Model-Based Machine Learning for Communications12 Jan 2021