Averaging Image Stack in Real and DCT Space for Denoising

Discrete cosine transformation (DCT) is similar to discrete Fourier transform except DCT uses real cosine coefficients. Most of the information for DCT is contained in a handful of coefficients making it ideal for data compression, e.g. JPEG compression.

Discrete cosine transformation (DCT) is similar to discrete Fourier transform except DCT uses real cosine coefficients. Most of the information for DCT is contained in a handful of coefficients making it ideal for data compression, e.g. JPEG compression. DCT is a linear function with respect to spatial domain therefore, any image processing operation would yield similar results when performed in spatial or DCT domains.

This tutorial demonstrates image denoising by averaging images in real and DCT spaces, respectively.

The code from this video is available at: https://github.com/bnsreenu/python_for_microscopists

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PyTorch for Deep Learning | Data Science | Machine Learning | Python. PyTorch is a library in Python which provides tools to build deep learning models. What python does for programming PyTorch does for deep learning. Python is a very flexible language for programming and just like python, the PyTorch library provides flexible tools for deep learning.

In this video, Deep Learning Tutorial with Python | Machine Learning with Neural Networks Explained, Frank Kane helps de-mystify the world of deep learning and artificial neural networks with Python!

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PyTorch is a library in Python which provides tools to build deep learning models. What python does for programming PyTorch does for deep learning.

We supply you with world class machine learning experts / ML Developers with years of domain experience who can add more value to your business.