Image and Signal Denoising Methods
Image and Signal Denoising Methods is a topic indexed in ScholarIQ from OpenAlex.
What is known about 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.
How many works does Image and Signal Denoising Methods have?
Image and Signal Denoising Methods has 92,583 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Image and Signal Denoising Methods have?
Image and Signal Denoising Methods has 1,531,936 citations in the OpenAlex counts ScholarIQ stores.
What is the OpenAlex record for Image and Signal Denoising Methods?
The OpenAlex for Image and Signal Denoising Methods is on the source record.