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Basics of Video
Yao WangPolytechnic University, Brooklyn, NY11201
-
Yao Wang, 2004 Video Basics
Outline
Color perception and specification Video capture and display Analog raster video Analog TV systems Digital video
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Yao Wang, 2004 Video Basics 3
Color Perception and Specification
Light -> color perception Human perception of color Type of light sources Trichromatic color mixing theory Specification of color
Tristimulus representation Luminance/Chrominance representation
Color coordinate conversion
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Yao Wang, 2004 Video Basics 4
Light is part of the EM wave
from [Gonzalez02]
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Yao Wang, 2004 Video Basics 5
Illuminating and Reflecting Light
Illuminating sources: emit light (e.g. the sun, light bulb, TV monitors) perceived color depends on the emitted freq. follows additive rule
R+G+B=White
Reflecting sources: reflect an incoming light (e.g. the color dye, matte surface,
cloth) perceived color depends on reflected freq (=emitted freq-
absorbed freq.) follows subtractive rule
R+G+B=Black
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Yao Wang, 2004 Video Basics 6
Eye Anatomy
From http://www.stlukeseye.com/Anatomy.asp
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Yao Wang, 2004 Video Basics 7
Eye vs. Camera
Optic nerve send the info to the brainCable to transfer images
RetinaFilm
Iris, pupilShutter
Lens, corneaLens
Eye componentsCamera components
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Yao Wang, 2004 Video Basics 8
Human Perception of Color
Retina contains photo receptors Cones: day vision, can perceive color
tone Red, green, and blue cones Different cones have different frequency
responses Tri-receptor theory of color vision
[Young1802] Rods: night vision, perceive brightness
only Color sensation is characterized by
Luminance (brightness) Chrominance
Hue (color tone) Saturation (color purity)
From http://www.macula.org/anatomy/retinaframe.html
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Yao Wang, 2004 Video Basics 9
Frequency Responses of Cones
ybgridaCC ii ,,,,)()( ==
from [Gonzalez02]
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Yao Wang, 2004 Video Basics 10
Frequency Responses of Cones and the Luminous Efficiency Function
100
0400 500 600 700
20
40
60
80
R
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Wavelength
LuminosityfunctionRedGreen
Blue20
ybgridaCC ii ,,,,)()( ==
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Yao Wang, 2004 Video Basics 11
Color Hue Specification
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Yao Wang, 2004 Video Basics 12
Trichromatic Color Mixing
Trichromatic color mixing theory Any color can be obtained by mixing three primary colors with a
right proportion
Primary colors for illuminating sources: Red, Green, Blue (RGB) Color monitor works by exciting red, green, blue phosphors using
separate electronic guns Primary colors for reflecting sources (also known as secondary
colors): Cyan, Magenta, Yellow (CMY) Color printer works by using cyan, magenta, yellow and black
(CMYK) dyes
valuessTristimulu :,3,2,1
kk
kk TCTC ==
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Yao Wang, 2004 Video Basics 13
RGB vs CMY
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Yao Wang, 2004 Video Basics 14
red
Green Blue
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Yao Wang, 2004 Video Basics 15
Color Representation Models
Specify the tristimulus values associated with the three primarycolors RGB CMY
Specify the luminance and chrominance HSI (Hue, saturation, intensity) YIQ (used in NTSC color TV) YCbCr (used in digital color TV)
Amplitude specification: 8 bits for each color component, or 24 bits total for each pixel Total of 16 million colors A true RGB color display of size 1Kx1K requires a display buffer
memory size of 3 MB
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Yao Wang, 2004 Video Basics 16
Color Coordinate Conversion
Conversion between different primary sets are linear (3x3 matrix)
Conversion between primary and XYZ/YIQ/YUV are also linear
Conversion to LSI/Lab are nonlinear LSI and Lab coordinates
coordinate Euclidean distance proportional to actual color difference
Conversion formulae between many color coordinates can be found in [Gonzalez92]
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Yao Wang, 2004 Video Basics 17
Video Capture and Display
Light reflection physics Imaging operator Color capture Color display Component vs. composite video
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Yao Wang, 2004 Video Basics 18
Video Capture
For natural images we need a light source (: wavelength of the source) . E(x, y, z, ): incident light on a point (x, y, z world coordinates of the point)
Each point in the scene has a reectivity function. r(x, y, z, ): reectivity function
Light reects from a point and the reected light is captured by an imaging device. c(x, y, z, ) = E(x, y, z, ) r(x, y, z, ): reected light.
?
Courtesy of Onur Guleryuz
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Yao Wang, 2004 Video Basics 19
More on Video Capture
Reflected light to camera Camera absorption function
Projection from 3-D to 2-D
The projection operator is non-linear Perspective projection Othographic projection
datCt c )(),,(),( = XX
)),((),(or ),()),(( 1 tPtttPP
xxXX
xX==
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Yao Wang, 2004 Video Basics 20
Perspective Projection Model
Y
Y
X
Z
C
X
X
x
x
y
x
y
F
Z
Cameracenter
Imageplane
2-Dimage
3-Dpoint
The image of an object is reversed from its 3-D position. The object appears smaller when it is farther away.
ZYFy
ZXFx == ,
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Yao Wang, 2004 Video Basics 21
How to Capture Color
Need three types of sensors Complicated digital processing is incorporated in
advanced cameras
I
n
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p
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N
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s
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A
/
D
RLens
B
G
( fs,1)CCDs
fs,1 fs,1 2fs,1
2fs,1/fs,2Image
enhancer
D/A
D/A
Rateconv.
Digital CNoutput
Analog CN &CS output
Viewfinderoutput
2fs,1 13.5 MHz
P
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e
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p
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A
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Figure 1.2 Schematic block diagram of a professional color video camera. Reprinted fromY. Hashimoto, M. Yamamoto, and T. Asaida, Cameras and display systems, IEEE (July 1995),83(7):103243. Copyright 1995 IEEE.
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Yao Wang, 2004 Video Basics 22
Video Display
CRT vs LCD Need three light sources projecting red, green, blue
components respectively
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Yao Wang, 2004 Video Basics 23
Analog Video
Video raster Progressive vs. interlaced raster Analog TV systems
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Yao Wang, 2004 Video Basics 24
Raster Scan
Real-world scene is a continuous 3-D signal (temporal, horizontal, vertical)
Analog video is stored in the raster format Sampling in time: consecutive sets of frames
To render motion properly, >=30 frame/s is needed Sampling in vertical direction: a frame is represented by a
set of scan lines Number of lines depends on maximum vertical frequency and
viewing distance, 525 lines in the NTSC system Video-raster = 1-D signal consisting of scan lines from
successive frames
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Yao Wang, 2004 Video Basics 25
Progressive and Interlaced Scans
Field 1 Field 2
Progressive Frame Interlaced Frame
Interlaced scan is developed to provide a trade-off between temporal and vertical resolution, for a given, fixed data rate (number of line/sec).
Horizontal retrace
Vertical retrace
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Yao Wang, 2004 Video Basics 26
Waveform and Spectrum of an Interlaced Raster
0 fl 2fl 3fl fmaxf
( f )
(b)
(a)
Tl
Th
T
t
t2
T
Horizontal retracefor first field
Vertical retracefrom first to second field
Vertical retracefrom second to third field
Blanking levelBlack level
White level
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Yao Wang, 2004 Video Basics 27
Color TV Broadcasting and Receiving
Luminance,Chrominance,Audio Multiplexing
Modulation
De-Modulation
De-Multiplexing
YC1C2--->RGB
RGB--->
YC1C2
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Yao Wang, 2004 Video Basics 28
Why not using RGB directly?
R,G,B components are correlated Transmitting R,G,B components separately is redundant More efficient use of bandwidth is desired
RGB->YC1C2 transformation Decorrelating: Y,C1,C2 are uncorrelated C1 and C2 require lower bandwidth Y (luminance) component can be received by B/W TV sets
YIQ in NTSC I: orange-to-cyan Q: green-to-purple (human eye is less sensitive)
Q can be further bandlimited than I Phase=Arctan(Q/I) = hue, Magnitude=sqrt (I^2+Q^2) = saturation Hue is better retained than saturation
-
Color Image Y image
I image (orange-cyan) Q image (green-purple)
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Yao Wang, 2004 Video Basics 30
I and Q on the color circle
I: orange-cyan
Q: green-purple
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Yao Wang, 2004 Video Basics 31
Conversion between RGB and YIQ
Y = 0.299 R + 0.587 G + 0.114 BI = 0.596 R -0.275 G -0.321 BQ = 0.212 R -0.523 G + 0.311 B
R =1.0 Y + 0.956 I + 0.620 Q,G = 1.0 Y - 0.272 I -0.647 Q,B =1.0 Y -1.108 I + 1.700 Q.
RGB -> YIQ
YIQ -> RGB
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Yao Wang, 2004 Video Basics 32
TV signal bandwidth
Luminance Maximum vertical frequency (cycles/picture-height)= black and
white lines interlacing
Maximum horizontal frequency (cycles/picture-width)
Corresponding temporal frequency (cycles/second or Hz)
For NTSC,
Chrominance Can be bandlimited significantly
I: 1.5 MHz, Q: 0.5 MHz.
2/' ,max, ysv Kff =
IARmax,max, = vh ff
lyslh TKfTff '/2'IAR'/ ,max,max ==MHz2.4max =f
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Yao Wang, 2004 Video Basics 33
Bandwidth of Chrominance Signals
Theoretically, for the same line rate, the chromiance signal can have as high frequency as the luminance signal
However, with real video signals, the chrominance component typically changes much slower than luminance
Furthermore, the human eye is less sensitive to changes in chrominance than to changes in luminance
The eye is more sensitive to the orange-cyan range (I) (the color of face!) than to green-purple range (Q)
The above factors lead to I: bandlimitted to 1.5 MHz Q: bandlimitted to 0.5 MHz
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Yao Wang, 2004 Video Basics 34
Multiplexing of Luminance and Chrominance
Chrominance signal can be bandlimited it usually has a narrower frequency span than the luminance and
the human eye is less sensitive to high frequencies in chrominance The two chrominance components (I and Q) are multiplexed
onto the same sub-carrier using QAM The upper band of I is limited to 0.5 MHz to avoid interference with
audio Position the bandlimited chrominance at the high end spectrum
of the luminance, where the luminance is weak, but still sufficiently lower than the audio (at 4.5 MHz=286 fl)
The actual position should be such that the peaks of chrominance spectrum interlace with those of the luminance
NTSC)for Hz 58.3( 2/455 == lc ff
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Yao Wang, 2004 Video Basics 35
Spectrum Illustration
ChrominanceLuminance
0 fl 2fl 3fl 225fl 226fl 227fl 228flfc
(Color subcarrier)
229fl 230flf
( f )
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Yao Wang, 2004 Video Basics 36
Multiplexing of luminance, chrominance and audio
(Composite Video Spectrum)
(b)
f
Picturecarrier
fp
Colorsubcarrier
fc
Audiosubcarrier
fa
6.0 MHz
4.5 MHz
4.2 MHz1.25 MHz
3.58 MHz
LuminanceII and QAudio
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Yao Wang, 2004 Video Basics 37
Quadrature Amplitude Modulation (QAM)
A method to modulate two signals onto the same carrier frequency, but with 90o phase shift
)2cos( 1tf
)2sin( 1tf
)(1 ts
)(2 ts
)(tmLPF
LPF
)2cos( 1tf
)2sin( 1tf
)(1 ts
)(2 ts
)(tm
QAM modulator QAM demodulator
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Yao Wang, 2004 Video Basics 38
Adding Color Bursts for Synchronization
Figure from From Grob, Basic Color Television Principles and Servicing, McGraw Hill, 1975http://www.ee.washington.edu/conselec/CE/kuhn/ntsc/95x417.gif
For accurate regeneration of the color sub-carrier signal at the receiver, a color burst signal is added during the horizontal retrace period
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Yao Wang, 2004 Video Basics 39
Multiplexing of Luminance and Chrominance
Composite video
LPF0-4.2MHz
BPF2-4.2MHz
LPF0-1.5MHz
-/2 LPF
0-0.5MHz
Acos(2fct)
Gate
Y(t)
I(t)
Q(t)
Color burst signal
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Yao Wang, 2004 Video Basics 40
DeMultiplexing of Luminance and Chrominance
Composite video
Comb Filter0-4.2MHz
LPF0-1.5MHz
-/2LPF
0-0.5MHz
2Acos(2fct)Gate
Y(t)
I(t)
Q(t)
Phasecomparator
Voltage controlled oscillator
Horizontalsync signal
_+
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Yao Wang, 2004 Video Basics 41
Luminance/Chrominance Separation
In low-end TV receivers, a low pass filter with cut-off frequency at 3MHz is typically used to separate the luminance and chrominance signal. The high frequency part of the I component (2 to 3 Mhz) is still
retained in the luminance signal. The extracted chrominance components can contain significant
luminance signal in a scene with very high frequency (luminance energy is not negligible near fc)
These can lead to color bleeding artifacts For better quality, a comb filter can be used, which will filter out
harmonic peaks correspond to chrominance signals. Show example of comb filter on board
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Yao Wang, 2004 Video Basics 42
What will a Monochrome TV see?
The monochrome TV receiver uses a LPT with cut-off at 4.2 MHz, and thus will get the composite video (baseband luminance plus the I and Q signal modulated to fc =3.58 MHz) Because the modulated chrominance signal is at very high
frequency (227.5 cycles per line), the eye smoothes it out mostly, but there can be artifacts
The LPF in Practical TV receivers have wide transition bands, and the response is already quite low at fc.
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Yao Wang, 2004 Video Basics 43
Color TV Broadcasting and Receiving
Luminance,Chrominance,Audio Multiplexing
Modulation
De-Modulation
De-Multiplexing
YC1C2--->RGB
RGB--->
YC1C2
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Yao Wang, 2004 Video Basics 44
Transmitter in More Details
LPF0-4.2MHz
BPF2-4.2MHz
LPF0-1.5MHz
-/2 LPF
0-0.5MHz
Acos(2fct)
Gate
Y(t)
I(t)
Q(t)
Color burst signal
R
G
B
t
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Y
I
Q
c
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s
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R(t)
G(t)
B(t)
FM modulator 4.5MHz
Audio
VSB
To transmit antenna
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Yao Wang, 2004 Video Basics 45
Receiver in More Details
Composite video Comb Filter
0-4.2MHz
LPF0-1.5MHz
-/2LPF
0-0.5MHz
2Acos(2fct)Gate
Y(t)
I(t)
Q(t)
Phasecomparator
Voltage controlled oscillator
Horizontalsync signal
_+
R(t)
G(t)
B(t)
Y
I
Q
t
o
R
G
B
c
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v
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VSBDemodulator
B
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F
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0
-
4
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2
M
H
z
B
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F
,
4
.
4
-
4
.
6
M
H
z
FM demodulatorAudio
From antenna
T
o
C
R
T
To speaker
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Yao Wang, 2004 Video Basics 46
Matlab Simulation of Mux/Demux
We will show the multiplexing/demultiplexing of YIQ process for a real sequence (mobile calendar) Original Y,I, Q frames Converted Y,I, Q raster signals and their respective
spectrums QAM of I and Q: choice of fc, waveform and spectrum Multiplexing of Y and QAM(I+Q): waveform and spectrum What wil a B/W TV receiver see:
W/o filtering vs. with filtering What will a color TV receiver see:
Original and recovered Y,I, Q Original and recovered color image Spectrum and waveforms
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Yao Wang, 2004 Video Basics 47
Spectrum of Y, I, Q
0 5 10
x 105
10-1
100
101
102
103
104
105
106
Y S pectrum
0 5 10
x 105
10-1
100
101
102
103
104
105
106
I S pectrum
0 5 10
x 105
10-1
100
101
102
103
104
105
106
Q S pectrum
Spectrum of Y, I, and Q components, computed from first two progressive frames of mobilcal, 352x240/frame
Maximum possible frequency is 352x240x30/2=1.26 MHz.
Notice bandwidths of Y, I, Q components are 0.8,0.2,0.15 MHz, respectively, if we consider 10^3 as the cut-off magnitude.
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Yao Wang, 2004 Video Basics 48
QAM of I and Q: Waveform
Line rate fl =30*240; Luminance fmax=30*240*352/2*0.7=.89 MHz, The color subcarrier fc=225*fl /2=0.81MHz.M(t)=I(t)*cos(2fct)+Q(t)*sin (2fct)
0 0.5 1 1.5
x 10-4
-80
-60
-40
-20
0
20
40
60
80
G
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Time
QAM multiplexed I & Q
0 0.5 1 1.5
x 10-4
-80
-60
-40
-20
0
20
40
60
80
G
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Time
I Waveform
0 0.5 1 1.5
x 10-4
-80
-60
-40
-20
0
20
40
60
80
G
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L
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Time
Q Waveform
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Yao Wang, 2004 Video Basics 49
QAM of I and Q: Spectrum
0 5 10
x 105
10-1
100
101
102
103
104
105
106I S pectrum
0 5 10
x 105
10-1
100
101
102
103
104
105
106QAM I+Q S pectrum
0 5 10
x 105
10-1
100
101
102
103
104
105
106Q S pectrum
Spectrum of I, Q, and QAM multiplexed I+Q, fc=225*fl/2=0.81 MHz
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Yao Wang, 2004 Video Basics 50
Composite Video: Waveform
0 0.5 1 1.5
x 10-4
0
50
100
150
200
250
G
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Time
Y Waveform
0 0.5 1 1.5
x 10-4
0
50
100
150
200
250
G
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Time
Compos ite Waveform
Waveform of the Y signal Y(t) and the composite signal V(t)=Y(t)+M(t). 1 line
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Yao Wang, 2004 Video Basics 51
Composite Video: Spectrum
0 2 4 6 8 10 12
x 105
102
103
104
105
106
Y S pectrum
0 2 4 6 8 10 12
x 105
102
103
104
105
106
Compos ite Video S pectrum
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Yao Wang, 2004 Video Basics 52
Blown-up View of Spectrum
Notice the harmonic peaks of Y and M interleaves near fc
0 5 10 15
x 104
102
103
104
105
106
Compos ite S pectrum (beginning)
7.5 8 8.5 9
x 105
102
103
104
105
106
Compos ite S pectrum (near fc)
Luminance peaksChrominancepeaks
Luminance peaks
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Yao Wang, 2004 Video Basics 53
Composite Video Viewed as a Monochrome Image w/o filtering
Original Y Composite Signal as Y
On the right is what a B/W receiver will see if no filtering is applied to the baseband video signal
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Yao Wang, 2004 Video Basics 54
Low-Pass Filter for Recovering Y
0 2 4 6 8 10 12
x 105
-150
-100
-50
0
50
Frequency (Hz)
M
a
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n
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t
u
d
e
(
d
B
)
0 2 4 6 8 10 12
x 105
-1500
-1000
-500
0
Frequency (Hz)
P
h
a
s
e
(
d
e
g
r
e
e
s
)
f_LPF=30*240/2*150=0.54MHz; fir_length=20;LPF=fir1(fir_length,f_LPF/(Fs/2));
Frequency response Impulse response (filter coefficients)
0 5 10 15 20 25-0.1
0
0.1
0.2
0.3
0.4
0.5
0.6
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Yao Wang, 2004 Video Basics 55
Recovered Y with Filtering
Original Y
On the right is what a B/W receiver will see if a lowpass filter with cutoff frequency at about 0.75 MHz is applied to the baseband video signal. This is also the recovered Y component by a color receiver if the same filter is used to separate Y and QAM signal.
Y(t)=conv(V(t),LPF(t))
Recovered Y
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Yao Wang, 2004 Video Basics 56
Y Waveform Comparison
0 0.5 1 1.5
x 10-4
0
50
100
150
200
250
G
r
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L
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Time
Y Waveform
0 0.5 1 1.5
x 10-4
0
50
100
150
200
250
G
r
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L
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Time
Compos ite Waveform
0 0.5 1 1.5
x 10-4
0
50
100
150
200
250
G
r
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L
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Time
Y from Compos ite us ing LP F
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Yao Wang, 2004 Video Basics 57
Demux Y and QAM(I,Q)
0 0.5 1 1.5
x 10-4
-80
-60
-40
-20
0
20
40
60
80
G
r
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Time
QAM Waveform
0 0.5 1 1.5
x 10-4
-80
-60
-40
-20
0
20
40
60
80
G
r
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L
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Time
Demultiplexed QAM
M(t)=V(t)-Y(t)
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Yao Wang, 2004 Video Basics 58
QMA Modulation and Demodulation
Modulated signal: M(t)=I(t)*cos(2fct)+Q(t)*sin (2fct)
Demodulated signal: I(t)=2*M(t)*cos(2fct), Q(t)=2*M(t)*sin(2fct) I(t) contains I(t) at baseband, as well as I(t) at 2fc and Q(t) at 4fc A LPF is required to extract I(t)
)2cos( 1tf
)2sin( 1tf
)(1 ts
)(2 ts
)(tmLPF
LPF
)2cos( 1tf
)2sin( 1tf
)(1 ts
)(2 ts
)(tm
QAM modulator QAM demodulator
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Yao Wang, 2004 Video Basics 59
Lowpass filter for Extracting QAM(I+Q)
0 2 4 6 8 10 12
x 105
-100
-50
0
50
Frequency (Hz)
M
a
g
n
i
t
u
d
e
(
d
B
)
0 2 4 6 8 10 12
x 105
-800
-600
-400
-200
0
Frequency (Hz)
P
h
a
s
e
(
d
e
g
r
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s
)
f_LPF=0.2MHz; fir_length=20;LPF=fir1(fir_length,f_LPF/(Fs/2));
0 5 10 15 20 25-0.02
0
0.02
0.04
0.06
0.08
0.1
0.12
0.14
0.16
Frequency response Impulse response
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Yao Wang, 2004 Video Basics 60
QAM Demodulation: Waveform
I(t)=2*M(t)*cos(2fct) I(t)=conv(I(t),LPF(t))
0 0.5 1 1.5
x 10-4
-80
-60
-40
-20
0
20
40
60
80
G
r
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L
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Time
Original I
0 0.5 1 1.5
x 10-4
-80
-60
-40
-20
0
20
40
60
80
G
r
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L
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Time
Demodulated I
0 0.5 1 1.5
x 10-4
-80
-60
-40
-20
0
20
40
60
80
G
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L
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Time
Demodulation+LP F I
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Yao Wang, 2004 Video Basics 61
QAM Demodultion: Spectrum
0 5 10
x 105
102
103
104
105
106
I S pectrum
0 5 10
x 105
102
103
104
105
106
Extracted I S pectrum w/o LP F
0 5 10
x 105
102
103
104
105
106
Extracted I S pectrum after LP F
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Yao Wang, 2004 Video Basics 62
original I
100 200 300
50
100
150
200
original Q
100 200 300
50
100
150
200
Recovered I
100 200 300
50
100
150
200
Recovered Q
100 200 300
50
100
150
200
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Yao Wang, 2004 Video Basics 63
Original color frame
Recovered color frame
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Yao Wang, 2004 Video Basics 64
Different Color TV Systems
Parameters NTSC PAL SECAM
Field Rate (Hz) 59.95 (60) 50 50
Line Number/Frame 525 625 625
Line Rate (Line/s) 15,750 15,625 15,625
Color Coordinate YIQ YUV YDbDr
Luminance Bandwidth (MHz) 4.2 5.0/5.5 6.0
Chrominance Bandwidth (MHz) 1.5(I)/0.5(Q) 1.3(U,V) 1.0 (U,V)
Color Subcarrier (MHz) 3.58 4.43 4.25(Db),4.41(Dr)
Color Modulation QAM QAM FM
Audio Subcarrier 4.5 5.5/6.0 6.5
Total Bandwidth (MHz) 6.0 7.0/8.0 8.0
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Yao Wang, 2004 Video Basics 65
Who uses what?
From http://www.stjarnhimlen.se/tv/tv.html#worldwide_0
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Yao Wang, 2004 Video Basics 66
Digital Video
Digital video by sampling/quantizing analog video raster BT.601 video
Other digital video formats and their applications
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Yao Wang, 2004 Video Basics 67
Digitizing A Raster Video
Sample the raster waveform = Sample along the horizontal direction
Sampling rate must be chosen properly For the samples to be aligned vertically, the sampling rate should
be multiples of the line rate Horizontal sampling interval = vertical sampling interval Total sampling rate equal among different systems
MHz 5.13)(PAL/SECAM864(NTSC)858 === lls fff
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Yao Wang, 2004 Video Basics 68
BT.601* Video Format
4
8
0
l
i
n
e
s
5
2
5
l
i
n
e
s
122pel
16pel
858 pels
720 pels
ActiveArea
525/60: 60 field/s5
7
6
l
i
n
e
s
6
2
5
l
i
n
e
s
864 pels
132pel
12pel
720 pels
ActiveArea
625/50: 50 field/s
* BT.601 is formerly known as CCIR601
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Yao Wang, 2004 Video Basics 69
RGB YCbCr
Y_d = 0.257 R_d + 0.504 G_d + 0.098 B_d + 16,C_b = -0.148 R_d - 0.291 G_d + 0.439 B_d + 128,C_r = 0.439 R_d -0.368 G_d - 0.071 B_d + 128,
R_d = 1.164 Y_d + 0.0 C_b+ 1.596 C_r,G_d = 1.164 Y_d - 0.392 C_b -0.813 C_r,B_d = 1.164 Y_d + 2.017 C_b + 0.0 C_r,
Y_d=Y_d -16, C_b=C_b-128, C_r=C_r-128
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Yao Wang, 2004 Video Basics 70
Chrominance Subsampling Formats
4:2:0For every 2x2 Y Pixels
1 Cb & 1 Cr Pixel(Subsampling by 2:1 bothhorizontally and vertically)
4:2:2 For every 2x2 Y Pixels
2 Cb & 2 Cr Pixel(Subsampling by 2:1
horizontally only)
4:4:4 For every 2x2 Y Pixels
4 Cb & 4 Cr Pixel(No subsampling)
Y Pixel Cb and Cr Pixel
4:1:1For every 4x1 Y Pixels
1 Cb & 1 Cr Pixel(Subsampling by 4:1
horizontally only)
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Yao Wang, 2004 Video Basics 71
Digital Video Formats
Video Format Y Size Color Sampling
Frame Rate (Hz)
Raw Data Rate (Mbps)
HDTV Over air. cable, satellite, MPEG2 video, 20-45 Mbps SMPTE296M 1280x720 4:2:0 24P/30P/60P 265/332/664 SMPTE295M 1920x1080 4:2:0 24P/30P/60I 597/746/746 Video production, MPEG2, 15-50 Mbps BT.601 720x480/576 4:4:4 60I/50I 249 BT.601 720x480/576 4:2:2 60I/50I 166 High quality video distribution (DVD, SDTV), MPEG2, 4-10 Mbps BT.601 720x480/576 4:2:0 60I/50I 124 Intermediate quality video distribution (VCD, WWW), MPEG1, 1.5 Mbps SIF 352x240/288 4:2:0 30P/25P 30 Video conferencing over ISDN/Internet, H.261/H.263, 128-384 Kbps CIF 352x288 4:2:0 30P 37 Video telephony over wired/wireless modem, H.263, 20-64 Kbps QCIF 176x144 4:2:0 30P 9.1
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Yao Wang, 2004 Video Basics 72
Video Terminology
Component video Three color components stored/transmitted separately Use either RGB or YIQ (YUV) coordinate New digital video format (YCrCb) Betacam (professional tape recorder) use this format
Composite video Convert RGB to YIQ (YUV) Multiplexing YIQ into a single signal Used in most consumer analog video devices
S-video Y and C (QAM of I and Q) are stored separately Used in high end consumer video devices
High end monitors can take input from all three
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Yao Wang, 2004 Video Basics 73
Homework
Reading assignment: Chap. 1.
Problems: Prob. 1.5. Prob. 1.6. Prob. 1.7. Prob. 1.8. Prob. 1.9. Prob. 1.10 Prob. 1.11 Prove mux/demux with QAM will get back the original two
signals