Item talk:Q166734

{

 "OpenAlex": {
   "display_name": "Image Denoising Techniques and Algorithms",
   "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.",
   "keywords": [
     "Image Denoising",
     "Sparse Representations",
     "Wavelet Transform",
     "Deep Learning",
     "Non-Local Means",
     "Hyperspectral Imaging",
     "Gaussian Noise",
     "Anisotropic Diffusion",
     "Poisson Noise",
     "Convolutional Neural Networks"
   ],
   "ids": {
     "openalex": "https://openalex.org/T10688",
     "wikipedia": "https://en.wikipedia.org/wiki/Denoising"
   },
   "subfield": {
     "id": "https://openalex.org/subfields/1707",
     "display_name": "Computer Vision and Pattern Recognition"
   },
   "field": {
     "id": "https://openalex.org/fields/17",
     "display_name": "Computer Science"
   },
   "domain": {
     "id": "https://openalex.org/domains/3",
     "display_name": "Physical Sciences"
   },
   "updated_date": "2024-08-12T05:17:04.922975",
   "created_date": "2024-01-23",
   "type": "topic",
   "oa_id": "T10688",
   "id": "https://openalex.org/T10688"
 }

}