Computational photography is the use of advanced algorithms and digital processing to enhance or extend the capabilities of digital imaging systems. It allows for the creation of images that are not possible with traditional optical processes alone, offering features like HDR imaging, depth mapping, and noise reduction.

Computational Photography

Advanced algorithms are like super-smart recipes that computers use to solve really tricky problems quickly and efficiently. They help computers do things like find the fastest way to get somewhere or understand pictures and words.

Advanced Algorithms

Digital processing

Digital imaging systems

Traditional optical processes

HDR Imaging, or High Dynamic Range Imaging, is a technique used in photography and imaging to capture a greater range of luminosity than traditional digital imaging methods. This allows for more detail in both the brightest and darkest parts of an image, resulting in pictures that more accurately reflect the range of light visible to the human eye.

HDR Imaging

Depth Mapping

Noise reduction refers to the process of removing or minimizing unwanted sound or data from a signal to improve its quality and clarity. It is crucial in various fields, including audio engineering, telecommunications, and image processing, to enhance user experience and data interpretation.

Concepts

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