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Any camera that allows manual exposure control can perform multi-exposure HDR image capture, although one equipped with automatic exposure bracketing (AEB) facilitates the process. Some cameras have an AEB feature that spans a far greater dynamic range than others, from ±0.6 in simpler cameras to ±18 EV in top professional cameras, as of 2020.
SDR, HDR, and WDR are camera terms that refer to what type of imaging tech your device uses to capture details in over- and under-exposed lighting environments.
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.
HDR: High dynamic range. Techniques that allow a digital image to show a wider contrast range than current image sensors can record in one file. Some cameras have firmware to do the processing. [10] ICM: Intentional camera movement. The camera or the focus or zoom of its lens is adjusted by the photographer during an exposure in order to ...
The highlights—the brightest parts of an image—can be brighter, more colorful, and more detailed. [2] The larger capacity for brightness can be used to increase the brightness of small areas without increasing the overall image's brightness, resulting in, for example, bright reflections from shiny objects, bright stars in a dark night scene, and bright and colorful light-emissive objects ...
Tone mapped high-dynamic-range (HDR) image of St. Kentigerns Roman Catholic Church in Blackpool, Lancashire, England, UK. Tone mapping is a technique used in image processing and computer graphics to map one set of colors to another to approximate the appearance of high-dynamic-range (HDR) images in a medium that has a more limited dynamic range.
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.
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 .