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Image denoising techniques: A comparison of PCA, kernel PCA, autoencoder, and CNN (www.fabriziomusacchio.com)

submitted 7 months ago by ericjmorey to c/machine_learning

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June 21, 2023 | Fabrizio Musacchio writes:

In this post, we will explore the potential of PCA [Principal Component Analysis], denoising autoencoders and Convolutional Neural Networks (CNN) for restoring noisy images using Python. We will examine their performance, advantages, and disadvantages to determine the most effective method for image denoising.

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