# Image and Signal Denoising Methods

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/image-and-signal-denoising-methods/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers encompasses a wide range of techniques and algorithms for image denoising, including sparse representations, wavelet transform, deep learning with convolutional neural networks, non-local means, and methods specific to handling different types of noise such as Gaussian, Poisson, and salt-and-pepper noise. The applications also extend to hyperspectral imaging and the use of anisotropic diffusion for speckle reduction. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t10688 |
| Works | 113 |

## Topic papers all

Showing 15 of 113.

- [Sparse Representation for Color Image Restoration](https://scholariq.org/papers/sparse-representation-for-color-image-restoration/)
- [Non-local sparse models for image restoration](https://scholariq.org/papers/non-local-sparse-models-for-image-restoration/)
- [Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics](https://scholariq.org/papers/wavelet-filter-based-weak-signature-detection-method-and-its-application-on/)
- [Robust anisotropic diffusion](https://scholariq.org/papers/robust-anisotropic-diffusion/)
- [Feedback Network for Image Super-Resolution](https://scholariq.org/papers/feedback-network-for-image-super-resolution/)
- [Generative Adversarial Networks for Hyperspectral Image Classification](https://scholariq.org/papers/generative-adversarial-networks-for-hyperspectral-image-classification/)
- [A Generalized Low-Rank Appearance Model for Spatio-temporally Correlated Rain Streaks](https://scholariq.org/papers/a-generalized-low-rank-appearance-model-for-spatio-temporally-correlated-rain/)
- [Group sparse regularization for deep neural networks](https://scholariq.org/papers/group-sparse-regularization-for-deep-neural-networks/)
- [An Overview of Low-Rank Matrix Recovery From Incomplete Observations](https://scholariq.org/papers/an-overview-of-low-rank-matrix-recovery-from-incomplete-observations/)
- [Burst Denoising with Kernel Prediction Networks](https://scholariq.org/papers/burst-denoising-with-kernel-prediction-networks/)
- [Wavelets and functional magnetic resonance imaging of the human brain](https://scholariq.org/papers/wavelets-and-functional-magnetic-resonance-imaging-of-the-human-brain/)
- [Use of modulated excitation signals in medical ultrasound. Part II: design and performance for medical imaging applications](https://scholariq.org/papers/use-of-modulated-excitation-signals-in-medical-ultrasound-part-ii-design-and/)
- [GAN review: Models and medical image fusion applications](https://scholariq.org/papers/gan-review-models-and-medical-image-fusion-applications/)
- [Self-Learning Based Image Decomposition With Applications to Single Image Denoising](https://scholariq.org/papers/self-learning-based-image-decomposition-with-applications-to-single-image/)
- [Scaling-Basis Chirplet Transform](https://scholariq.org/papers/scaling-basis-chirplet-transform/)

## Topic primary papers

Showing 15 of 31.

- [Sparse Representation for Color Image Restoration](https://scholariq.org/papers/sparse-representation-for-color-image-restoration/)
- [Non-local sparse models for image restoration](https://scholariq.org/papers/non-local-sparse-models-for-image-restoration/)
- [Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics](https://scholariq.org/papers/wavelet-filter-based-weak-signature-detection-method-and-its-application-on/)
- [Burst Denoising with Kernel Prediction Networks](https://scholariq.org/papers/burst-denoising-with-kernel-prediction-networks/)
- [Wavelets and functional magnetic resonance imaging of the human brain](https://scholariq.org/papers/wavelets-and-functional-magnetic-resonance-imaging-of-the-human-brain/)
- [Self-Learning Based Image Decomposition With Applications to Single Image Denoising](https://scholariq.org/papers/self-learning-based-image-decomposition-with-applications-to-single-image/)
- [Denoising of 3D magnetic resonance images using a residual encoder–decoder Wasserstein generative adversarial network](https://scholariq.org/papers/denoising-of-3d-magnetic-resonance-images-using-a-residual-encoder-decoder/)
- [Wavelets and Field Forecast Verification](https://scholariq.org/papers/wavelets-and-field-forecast-verification/)
- [Abnormal Breast Detection in Mammogram Images by Feed-forward Neural Network Trained by Jaya Algorithm](https://scholariq.org/papers/abnormal-breast-detection-in-mammogram-images-by-feed-forward-neural-network/)
- [Convergence and Rate Analysis of Neural Networks for Sparse Approximation](https://scholariq.org/papers/convergence-and-rate-analysis-of-neural-networks-for-sparse-approximation/)
- [Evaluating Denoising Performances of Fundamental Filters for T2-Weighted MRI Images](https://scholariq.org/papers/evaluating-denoising-performances-of-fundamental-filters-for-t2-weighted-mri/)
- [The iDUDE Framework for Grayscale Image Denoising](https://scholariq.org/papers/the-idude-framework-for-grayscale-image-denoising/)
- [Security Assured CNN-Based Model for Reconstruction of Medical Images on the Internet of Healthcare Things](https://scholariq.org/papers/security-assured-cnn-based-model-for-reconstruction-of-medical-images-on-the/)
- [Denoising-based clustering algorithms for segmentation of low level salt-and-pepper noise-corrupted images](https://scholariq.org/papers/denoising-based-clustering-algorithms-for-segmentation-of-low-level-salt-and/)
- [Detection of calcifications in digital mammograms using wavelet analysis and contrast enhancement](https://scholariq.org/papers/detection-of-calcifications-in-digital-mammograms-using-wavelet-analysis-and/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.