Image and Signal Denoising Methods
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Scope of this subject
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.
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Research vocabulary
image denoising; image restoration; edge preservation; wavelet thresholding; median filter; Gaussian noise; impulse noise removal; speckle noise; speckle reduction; salt and pepper noise; wavelet denoising; image deblurring; image smoothing; total variation regularization; image filtering; non-local means; anisotropic diffusion; bilateral filter; detail preservation; texture preservation; soft thresholding; seismic denoising; color image denoising; video denoising; noise detection
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Numeric address and provenance
Morton address: 36174245151260759 · morton4x16-v1
Coordinates: (3, 17, 1707, 10688). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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