April 2020
Intermediate to advanced
438 pages
12h 2m
English
Principal component analysis (PCA), discrete Fourier transform (DFT), and discrete wavelet transform (DWT) are traditional machine learning techniques that can be used to denoise images as well. Each of these techniques will learn a representation (an approximation) of the image space and will retain mostly the information content in the images and remove the noise.
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