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Computational Photography

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TL;DR. The use of computational techniques to create new photographic capabilities that go beyond traditional optics.

Technical Definition

The use of computational techniques to create new photographic capabilities that go beyond traditional optics.

How it works

Computational photography combines image capture with computational processing to produce richer, more detailed, or entirely novel images. This involves AI algorithms for tasks like depth estimation, high dynamic range imaging, or light field reconstruction. It underpins many advanced features in modern smartphone cameras and scientific imaging.

Related Concepts

  • Computer vision — Computer vision enables computers to interpret and understand information from digital images and videos, automating tasks typically done by human sight.
  • Machine vision (MV) — Technology for automatic inspection and analysis using imaging, often applied in industrial settings like manufacturing and robotics.
  • Generative AI — An AI field focused on creating models that can generate novel and complex content, such as text, images, audio, and video, that is coherent and original.