{"cited_by_count":1090751,"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.","display_name":"Image and Signal Denoising Methods","domain_id":"3","external_ids":{"openalex":"https://openalex.org/T10688","wikipedia":"https://en.wikipedia.org/wiki/Denoising"},"field_id":"17","id":"T10688","keywords":[{"display_name":"image denoising","id":"image-denoising","score":0.5757,"url":"https://openalex.org/keywords/image-denoising"},{"display_name":"image restoration","id":"image-restoration","score":0.2609,"url":"https://openalex.org/keywords/image-restoration"},{"display_name":"edge preservation","id":"edge-preservation","score":0.5181,"url":"https://openalex.org/keywords/edge-preservation"},{"display_name":"wavelet thresholding","id":"wavelet-thresholding","score":0.4597,"url":"https://openalex.org/keywords/wavelet-thresholding"},{"display_name":"median filter","id":"median-filtering","score":0.2817,"url":"https://openalex.org/keywords/median-filtering"},{"display_name":"Gaussian noise","id":"gaussian-noise","score":0.2276,"url":"https://openalex.org/keywords/gaussian-noise"},{"display_name":"impulse noise removal","id":"impulse-noise-removal","score":0.7617,"url":"https://openalex.org/keywords/impulse-noise-removal"},{"display_name":"speckle noise","id":"speckle-noise","score":0.2978,"url":"https://openalex.org/keywords/speckle-noise"},{"display_name":"speckle reduction","id":"speckle-reduction","score":0.3297,"url":"https://openalex.org/keywords/speckle-reduction"},{"display_name":"salt and pepper noise","id":"salt-and-pepper-noise","score":0.6361,"url":"https://openalex.org/keywords/salt-and-pepper-noise"},{"display_name":"wavelet denoising","id":"wavelet-denoising","score":0.2558,"url":"https://openalex.org/keywords/wavelet-denoising"},{"display_name":"image deblurring","id":"image-deblurring","score":0.2211,"url":"https://openalex.org/keywords/image-deblurring"},{"display_name":"image smoothing","id":"image-smoothing","score":0.4044,"url":"https://openalex.org/keywords/image-smoothing"},{"display_name":"total variation regularization","id":"total-variation-regularization","score":0.2863,"url":"https://openalex.org/keywords/total-variation-regularization"},{"display_name":"image filtering","id":"image-filtering","score":0.2169,"url":"https://openalex.org/keywords/image-filtering"},{"display_name":"non-local means","id":"non-local-means-filter","score":0.6689,"url":"https://openalex.org/keywords/non-local-means-filter"},{"display_name":"anisotropic diffusion","id":"anisotropic-diffusion","score":0.2412,"url":"https://openalex.org/keywords/anisotropic-diffusion"},{"display_name":"bilateral filter","id":"bilateral-filter","score":0.2994,"url":"https://openalex.org/keywords/bilateral-filter"},{"display_name":"detail preservation","id":"detail-preservation","score":0.4173,"url":"https://openalex.org/keywords/detail-preservation"},{"display_name":"texture preservation","id":"texture-preservation","score":0.3608,"url":"https://openalex.org/keywords/texture-preservation"},{"display_name":"soft thresholding","id":"soft-thresholding","score":0.4069,"url":"https://openalex.org/keywords/soft-thresholding"},{"display_name":"seismic denoising","id":"seismic-data-denoising","score":0.4876,"url":"https://openalex.org/keywords/seismic-data-denoising"},{"display_name":"color image denoising","id":"color-image-denoising","score":0.9056,"url":"https://openalex.org/keywords/color-image-denoising"},{"display_name":"video denoising","id":"video-denoising","score":0.5899,"url":"https://openalex.org/keywords/video-denoising"},{"display_name":"noise detection","id":"noise-detection","score":0.3102,"url":"https://openalex.org/keywords/noise-detection"}],"legacy_keywords":["Image Denoising","Sparse Representations","Wavelet Transform","Deep Learning","Non-Local Means","Hyperspectral Imaging","Gaussian Noise","Anisotropic Diffusion","Poisson Noise","Convolutional Neural Networks"],"openalex_id":"https://openalex.org/T10688","source_created_date":"2024-01-23T15:27:07","source_updated_date":"2026-10-17T03:02:00","subfield_id":"1707","url":"/topics/T10688","works_api_url":"https://api.openalex.org/works?filter=topics.id:T10688","works_count":76515,"label":"Image and Signal Denoising Methods","provider":"openalex","revision":"92f61b3e5b41b078","taxonomy_revision":"f050b5d4780b1289","title":"Image and Signal Denoising Methods","kind":"topic-directory","aeo_cohort":"topic-directory","catalogue_revision":"f050b5d4780b1289","numeric_address":"36174245151260759","address_version":"morton4x16-v1","coordinates":[3,17,1707,10688],"answer_status":"Directory metadata; local answer requires separate source review","truth_status":"Subject descriptor, not a factual answer or a demonstrated knowledge gap","reviewed_answer":null}