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High dynamic range (HDR), also known as wide dynamic range, extended dynamic range, or expanded dynamic range, is a signal with a higher dynamic range than usual. The term is often used in discussing the dynamic ranges of images , videos , audio or radio .
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.
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.
Logo. HDR10+ [1] is a high dynamic range (HDR) video technology that adds dynamic metadata [2] to HDR10 source files. The dynamic metadata are used to adjust and optimize each frame of the HDR video to the consumer display's capabilities in a way based on the content creator's intentions.
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.
Hugin (/ ˈ h ʊ ɡ ɪ n /) is a cross-platform open source panorama photo stitching and HDR merging program developed by Pablo d'Angelo and others. It is a GUI front-end for Helmut Dersch's Panorama Tools and Andrew Mihal's Enblend and Enfuse.
Aurora HDR Pro features the ability to create up to 9 layers (4 in the Mac App Store version), and provides brushing and masking functionality common in many image-editing software programs. Layers can be automatically loaded with either (a) the previous layer, (b) a custom texture, (c) the original tone-mapped image, or (d) any one of the ...
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 .