What is Computational Photography? | Machine Learning, Neural Filters, and Image Editing, Part 1

The video explores computational photography, focusing on how digital processing and machine learning enhance smartphone camera capabilities. It covers camera basics, optical acquisition, and the evolution of image editing, including filters and neural networks. Techniques like photo stacking and HDR are explained, highlighting their role in improving image quality. The video also discusses real-time computational photography, showcasing its applications in video conferencing and beyond.

What are some examples of real-time computational photography methods mentioned in the text?

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How does computational photography improve video conferencing experiences?

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Discuss the significance of the reconstructed black hole image in the context of computational photography.

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