Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Image and Signal Denoising Methods
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.
92.2K works worldwide1.5M citations
Image DenoisingSparse RepresentationsWavelet TransformDeep LearningNon-Local MeansHyperspectral ImagingGaussian NoiseAnisotropic DiffusionPoisson NoiseConvolutional Neural Networks
Journals publishing in this area
7

IEEE Transactions on Pattern Analysis and Machine Intelligence
ISSN 0162-8828469 articles in this topic
547h-index
11.13Impact
12.1KArticles
1.8MCitations
12

International Journal of Research in Circuits Devices and Systems
ISSN 2708-45312 articles in this topic
1h-index
0.07Impact
61Articles
4Citations
