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This reduces the need to use the multi-exposure HDR capture technique. High dynamic range images are used in extreme dynamic range applications like welding or automotive work. In security cameras the term used instead of HDR is "wide dynamic range". [citation needed] Because of the nonlinearity of some sensors image artifacts can be common.
Tone mapped high-dynamic-range (HDR) image of St. Kentigern's Church in Blackpool, Lancashire, England. In photography and videography, multi-exposure HDR capture is a technique that creates high dynamic range (HDR) images (or extended dynamic range images) by taking and combining multiple exposures of the same subject matter at different exposures.
HDR changes the way the luminance and colors of videos and images are represented in the signal and allows brighter and more detailed highlight representation, darker and more detailed shadows, and more intense colors. [1] [2] HDR allows compatible displays to receive a higher-quality image source.
Dolby Vision is a set of technologies developed by Dolby Laboratories for high dynamic range (HDR) video. [1] [2] [3] It covers content creation, distribution, and playback.[1] [4] [5] [6] It includes dynamic metadata that define the aspect ratio and adjust the picture based on a display's capabilities on a per-shot or even per-frame basis, optimizing the presentation.
Bloom in digital cameras is caused by an overflow of charge in the photodiodes, which are the light-sensitive elements in the camera's image sensor. [3] When a photodiode is exposed to a very bright light source, the accumulated charge can spill over into adjacent pixels, creating a halo effect. This is known as "charge bleeding."
Computational photography can improve the capabilities of a camera, or introduce features that were not possible at all with film-based photography, or reduce the cost or size of camera elements. Examples of computational photography include in-camera computation of digital panoramas , [ 6 ] high-dynamic-range images , and light field cameras .
Full-spectrum photography is a subset of multispectral imaging, defined among photography enthusiasts as imaging with consumer cameras the full, broad spectrum of a film or camera sensor bandwidth. In practice, specialized broadband/full-spectrum film captures visible and near infrared light, commonly referred to as the " VNIR ".
HDR10 Media Profile, more commonly known as HDR10, is an open high-dynamic-range video (HDR) standard announced on August 27, 2015, by the Consumer Electronics Association. [1] It is the most widespread HDR format. [2] HDR10 is not backward compatible with SDR. It includes HDR static metadata but not dynamic metadata.