Color space

YUV

YUV is a color model typically used as part of a color image pipeline. It encodes a color image or video taking human perception into account, allowing reduced bandwidth for chrominance components, compared to a "direct" RGB-representation. Historically, the terms YUV and Y′UV were used for a specific analog encoding of color information in television systems. Today, the term YUV is commonly used in the computer industry to describe colorspaces that are encoded using YCbCr. The YUV model defines one luminance component (Y) meaning physical linear-space brightness, and two chrominance components, called U (blue projection) and V (red projection) respectively. It can be used to convert to and from the RGB model, and with different color spaces. The closely related Y′UV model uses the luma component (Y′) – nonlinear perceptual brightness, with the prime symbols (') denoting gamma correction. Y′UV is used in the PAL analogue color TV standard (excluding PAL-N). Previous black-and-white systems used only luma (Y′) information. Color information (U and V) was added separately via a subcarrier so that a black-and-white receiver would still be able to receive and display a color picture transmission in the receiver's native black-and-white format, with no need for extra transmission bandwidth. As for etymology, Y, Y′, U, and V are not abbreviations. The use of the letter Y for luminance can be traced back to the choice of XYZ primaries. This lends itself naturally to the usage of the same letter in luma (Y′), which approximates a perceptually uniform correlate of luminance. Likewise, U and V were chosen to differentiate the U and V axes from those in other spaces, such as the x and y chromaticity space. See the equations below or compare the historical development of the math. (Wikipedia).

YUV
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Underactive thyroid.mov

An general explanation of the underactive thyroid.

From playlist For Patients

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YouTube video resolution and format test - MPEG-4 1920x1080P Sharpen

*** Note - I think this is the best format and resolution for me according to my eye test viewing the videos. The sharpen filter should compensate for YouTube "dulling" during their processing. *** I'm testing video resolution and format for my YouTube videos. I also test the movement of

From playlist YouTube Camera and Video Rendering

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YouTube video resolution and format test - AVC 1440 x1080i

I'm testing video resolution and format for my YouTube videos. I also test the movement of my DIY camera boom / jib / crane. I test the macro zoom feature of my Sony HDR-CX130 Handycam / Camcorder Source video: AVCHD 1920x1080P 50 fps Rendered to (in separate uploads): * 25 fps, 1280x720

From playlist YouTube Camera and Video Rendering

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YouTube video resolution and format test - AVC 1920 x1080i

I'm testing video resolution and format for my YouTube videos. I also test the movement of my DIY camera boom / jib / crane. I test the macro zoom feature of my Sony HDR-CX130 Handycam / Camcorder Source video: AVCHD 1920x1080P 50 fps Rendered to (in separate uploads): * 25 fps, 1280x720

From playlist YouTube Camera and Video Rendering

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YouTube video resolution and format test - MPEG-4 1280x720P

I'm testing video resolution and format for my YouTube videos. I also test the movement of my DIY camera boom / jib / crane. I test the macro zoom feature of my Sony HDR-CX130 Handycam / Camcorder Source video: AVCHD 1920x1080P 50 fps Rendered to (in separate uploads): * 25 fps, 1280x720

From playlist YouTube Camera and Video Rendering

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YouTube video resolution and format test - MPEG-4 1920x1080P

I'm testing video resolution and format for my YouTube videos. I also test the movement of my DIY camera boom / jib / crane. I test the macro zoom feature of my Sony HDR-CX130 Handycam / Camcorder Source video: AVCHD 1920x1080P 50 fps Rendered to (in separate uploads): * 25 fps, 1280x720

From playlist YouTube Camera and Video Rendering

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YouTube video resolution and format test - WMV 1440x1080P

I'm testing video resolution and format for my YouTube videos. I also test the movement of my DIY camera boom / jib / crane. I test the macro zoom feature of my Sony HDR-CX130 Handycam / Camcorder Source video: AVCHD 1920x1080P 50 fps Rendered to (in separate uploads): * 25 fps, 128

From playlist YouTube Camera and Video Rendering

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YouTube video resolution and format test - WMV 1280x720P

I'm testing video resolution and format for my YouTube videos. I also test the movement of my DIY camera boom / jib / crane. I test the macro zoom feature of my Sony HDR-CX130 Handycam / Camcorder Source video: AVCHD 1920x1080P 50 fps Rendered to (in separate uploads): * 25 fps, 1280x720

From playlist YouTube Camera and Video Rendering

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From playlist The BuShou of HanZi

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A brief description of the BuShou of 囗.

From playlist The BuShou of HanZi

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A brief description of the BuShou of 耳.

From playlist The BuShou of HanZi

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Hexomino game AI at different levels. (Like tetris, but with 6-block pieces.)

In this video, I showcase how Pierre Dellacherie's Tetris AI fares with a mixed tetromino+pentomino+hexomino piece set. It is insanely difficult even for a human. Let's see how Pierre Dellacherie's AI fares without any customizations. In addition to the 60 distinct hexominos, this particu

From playlist Misc. productions

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A brief description of the BuShou of 宀.

From playlist The BuShou of HanZi

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YCbCr and RGB Colour

This computer science video compares the RGB colour model with the YCbCr colour model. It shows how both RGB and YCbCr can be visualised in three dimensional space, and how the grayscale relates to both colour models. The evolution of YCbCr from YUV is mentioned, along with the need for

From playlist Images

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A brief description of the BuShou of 車.

From playlist The BuShou of HanZi

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From playlist The BuShou of HanZi

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The BuShou of HanZi :舟

A brief description of the BuShou of 舟.

From playlist The BuShou of HanZi

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Yves Achdou: Numerical methods for mean field games - Monotone finite difference schemes

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From playlist Numerical Analysis and Scientific Computing

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Related pages

Clamping (graphics) | Gamut | YIQ | CIE 1931 color space | Bandwidth (signal processing) | Gibbs phenomenon | YPbPr | Sampling (signal processing) | Gamma correction | Signedness | Rec. 709 | Color model | YDbDr | Matrix (mathematics) | YCbCr | Color space | Fixed-point arithmetic | Color difference