Lumi masking: Difference between revisions
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{{Short description|Video compression technique}} |
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'''Lumi masking''' (derived from [[luminance]]), also known as '''psychovisual enhancements''' or '''adaptive quantization''', is a technique used by [[video compression]] [[software]], which reduces quality in very bright or very dark areas of the picture, as quality loss in these areas is less likely to be visible.<ref name="experts123">{{ |
'''Lumi masking''' (derived from [[luminance]]), also known as '''psychovisual enhancements''' or '''adaptive quantization''', is a technique used by [[video compression]] [[software]], which reduces quality in very bright or very dark areas of the picture, as quality loss in these areas is less likely to be visible.<ref name="experts123">{{Cite web|url=http://www.experts123.com/questions|title=Questions|date=April 26, 2017}}</ref> The reduction in quality (and therefore [[bit rate]]) in certain areas of the picture caused by using lumi masking allows more bits to be allocated to the rest of the video, thus improving overall quality. Lumi masking is not perfect, however, and in some cases the degradation in quality it causes is visible.<ref name="experts123" /> |
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== See also == |
== See also == |
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{{DEFAULTSORT:Lumi Masking}} |
{{DEFAULTSORT:Lumi Masking}} |
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[[Category:Video compression]] |
[[Category:Video compression]] |
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Latest revision as of 18:01, 14 September 2023
 | This article needs additional citations for verification. (August 2014) |
Lumi masking (derived from luminance), also known as psychovisual enhancements or adaptive quantization, is a technique used by video compression software, which reduces quality in very bright or very dark areas of the picture, as quality loss in these areas is less likely to be visible.[1] The reduction in quality (and therefore bit rate) in certain areas of the picture caused by using lumi masking allows more bits to be allocated to the rest of the video, thus improving overall quality. Lumi masking is not perfect, however, and in some cases the degradation in quality it causes is visible.[1]
See also
[edit]References
[edit]- ^ a b "Questions". April 26, 2017.
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