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  • Basics of Video

    Yao WangPolytechnic University, Brooklyn, NY11201

    [email protected]

  • © Yao Wang, 2004 Video Basics

    Outline

    • Color perception and specification• Video capture and display• Analog raster video• Analog TV systems• Digital video

  • © 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

  • © Yao Wang, 2004 Video Basics 4

    Light is part of the EM wave

    from [Gonzalez02]

  • © 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

  • © Yao Wang, 2004 Video Basics 6

    Eye Anatomy

    From http://www.stlukeseye.com/Anatomy.asp

  • © 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

  • © 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

  • © Yao Wang, 2004 Video Basics 9

    Frequency Responses of Cones

    ybgridaCC ii ,,,,)()( == ∫ λλλ

    from [Gonzalez02]

  • © 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

    elat

    ive

    sens

    itivi

    ty

    Wavelength

    LuminosityfunctionRedGreen

    Blue�20

    ybgridaCC ii ,,,,)()( == ∫ λλλ

  • © Yao Wang, 2004 Video Basics 11

    Color Hue Specification

  • © 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 ∑=

    =

  • © Yao Wang, 2004 Video Basics 13

    RGB vs CMY

  • © Yao Wang, 2004 Video Basics 14

    red

    Green Blue

  • © 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

  • © 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]

  • © Yao Wang, 2004 Video Basics 17

    Video Capture and Display

    • Light reflection physics• Imaging operator• Color capture• Color display• Component vs. composite video

  • © Yao Wang, 2004 Video Basics 18

    Video Capture

    • For natural images we need a light source (λ: wavelength of the source) .– E(x, y, z, λ): incident light on a point (x, y, z world coordinates of the point)

    • Each point in the scene has a reflectivity function.– r(x, y, z, λ): reflectivity function

    • Light reflects from a point and the reflected light is captured by an imaging device.– c(x, y, z, λ) = E(x, y, z, λ) × r(x, y, z, λ): reflected light.

    ?

    Courtesy of Onur Guleryuz

  • © 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

    λλλψ datCt c )(),,(),( ∫= XX

    )),((),(or ),()),(( 1 tPtttPP

    xxXX

    xX−==

    ψψψψ

  • © 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 == ,

  • © Yao Wang, 2004 Video Basics 21

    How to Capture Color

    • Need three types of sensors• Complicated digital processing is incorporated in

    advanced cameras

    Inte

    rpol

    atio

    n

    Non

    linea

    rpr

    oces

    sing

    A/D

    RLens

    B

    G

    ( fs,1)CCDs

    fs,1 fs,1 2fs,1

    2fs,1/fs,2

    Imageenhancer

    D/A

    D/A

    Rateconv.

    Digital CNoutput

    Analog CN &CS output

    Viewfinderoutput

    2fs,1 13.5 MHz

    Pre-

    proc

    ess

    Ana

    log

    proc

    ess

    Col

    or c

    orre

    ctor

    Mat

    rix

    & e

    ncod

    er

    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):1032–43. Copyright 1995 IEEE.

  • © Yao Wang, 2004 Video Basics 22

    Video Display

    • CRT vs LCD• Need three light sources projecting red, green, blue

    components respectively

  • © Yao Wang, 2004 Video Basics 23

    Analog Video

    • Video raster• Progressive vs. interlaced raster• Analog TV systems

  • © 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

  • © 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

  • © 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

    ��

  • © Yao Wang, 2004 Video Basics 27

    Color TV Broadcasting and Receiving

    Luminance,Chrominance,Audio Multiplexing

    Modulation

    De-Modulation

    De-Multiplexing

    YC1C2--->RGB

    RGB--->

    YC1C2

  • © 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)

  • © Yao Wang, 2004 Video Basics 30

    I and Q on the color circle

    I: orange-cyan

    Q: green-purple

  • © 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

  • © 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

  • © 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

  • © 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

  • © Yao Wang, 2004 Video Basics 35

    Spectrum Illustration

    ChrominanceLuminance

    0 fl 2fl 3fl 225fl 226fl 227fl 228fl

    fc(Color subcarrier)

    229fl 230flf

    �( f )

  • © 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

    Luminance

    I

    I and Q

    Audio

  • © 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( 1tfπ

    )2sin( 1tfπ

    )(1 ts

    )(2 ts

    )(tmLPF

    LPF

    )2cos( 1tfπ

    )2sin( 1tfπ

    )(1 ts

    )(2 ts

    )(tm

    QAM modulator QAM demodulator

  • © 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

  • © Yao Wang, 2004 Video Basics 39

    Multiplexing of Luminance and Chrominance

    Composite video

    LPF0-4.2MHz

    BPF2-4.2MHz

    LPF0-1.5MHz

    -π/2Σ

    LPF0-0.5MHz

    Σ

    ∼Acos(2πfct)

    Gate

    Y(t)

    I(t)

    Q(t)

    Color burst signal

  • © Yao Wang, 2004 Video Basics 40

    DeMultiplexing of Luminance and Chrominance

    Composite video

    Comb Filter0-4.2MHz

    LPF0-1.5MHz

    -π/2

    LPF0-0.5MHz

    ∼2Acos(2πfct)Gate

    Y(t)

    I(t)

    Q(t)

    Σ

    Phasecomparator

    Voltage controlled oscillator

    Horizontalsync signal

    _+

  • © 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

  • © 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.

  • © Yao Wang, 2004 Video Basics 43

    Color TV Broadcasting and Receiving

    Luminance,Chrominance,Audio Multiplexing

    Modulation

    De-Modulation

    De-Multiplexing

    YC1C2--->RGB

    RGB--->

    YC1C2

  • © Yao Wang, 2004 Video Basics 44

    Transmitter in More Details

    LPF0-4.2MHz

    BPF2-4.2MHz

    LPF0-1.5MHz

    -π/2 Σ

    LPF0-0.5MHz

    Σ

    ∼Acos(2πfct)

    Gate

    Y(t)

    I(t)

    Q(t)

    Color burst signal

    RG

    B to

    YIQ

    con

    vers

    ion

    R(t)

    G(t)

    B(t)

    FM modulator 4.5MHz

    Audio

    VSB

    To transmit antenna

  • © Yao Wang, 2004 Video Basics 45

    Receiver in More Details

    Composite video Comb Filter

    0-4.2MHz

    LPF0-1.5MHz

    -π/2

    LPF0-0.5MHz

    ∼2Acos(2πfct)Gate

    Y(t)

    I(t)

    Q(t)

    Σ

    Phasecomparator

    Voltage controlled oscillator

    Horizontalsync signal

    _+

    R(t)

    G(t)

    B(t)YIQ

    to R

    GB

    con

    vers

    ion

    VSBDemodulator

    BP

    F, 0

    -4.2

    MH

    z

    BP

    F, 4

    .4-4

    .6M

    Hz

    FM demodulatorAudio

    From antenna

    To C

    RT

    To speaker

  • © 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

  • © 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.

  • © 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(2πfct)+Q(t)*sin (2πfct)

    0 0.5 1 1.5

    x 10-4

    -80

    -60

    -40

    -20

    0

    20

    40

    60

    80

    Gra

    y Le

    vel

    Time

    QAM multiplexed I & Q

    0 0.5 1 1.5

    x 10-4

    -80

    -60

    -40

    -20

    0

    20

    40

    60

    80

    Gra

    y Le

    vel

    Time

    I Waveform

    0 0.5 1 1.5

    x 10-4

    -80

    -60

    -40

    -20

    0

    20

    40

    60

    80

    Gra

    y Le

    vel

    Time

    Q Waveform

  • © 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

  • © Yao Wang, 2004 Video Basics 50

    Composite Video: Waveform

    0 0.5 1 1.5

    x 10-4

    0

    50

    100

    150

    200

    250

    Gra

    y Le

    vel

    Time

    Y Waveform

    0 0.5 1 1.5

    x 10-4

    0

    50

    100

    150

    200

    250

    Gra

    y Le

    vel

    Time

    Compos ite Waveform

    Waveform of the Y signal Y(t) and the composite signal V(t)=Y(t)+M(t). 1 line

  • © 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

  • © 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

  • © 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

  • © 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)

    Mag

    nitu

    de (d

    B)

    0 2 4 6 8 10 12

    x 105

    -1500

    -1000

    -500

    0

    Frequency (Hz)

    Pha

    se (d

    egre

    es)

    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

  • © 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

  • © Yao Wang, 2004 Video Basics 56

    Y Waveform Comparison

    0 0.5 1 1.5

    x 10-4

    0

    50

    100

    150

    200

    250

    Gra

    y Le

    vel

    Time

    Y Waveform

    0 0.5 1 1.5

    x 10-4

    0

    50

    100

    150

    200

    250

    Gra

    y Le

    vel

    Time

    Compos ite Waveform

    0 0.5 1 1.5

    x 10-4

    0

    50

    100

    150

    200

    250

    Gra

    y Le

    vel

    Time

    Y from Compos ite us ing LP F

  • © 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

    Gra

    y Le

    vel

    Time

    QAM Waveform

    0 0.5 1 1.5

    x 10-4

    -80

    -60

    -40

    -20

    0

    20

    40

    60

    80

    Gra

    y Le

    vel

    Time

    Demultiplexed QAM

    M’(t)=V(t)-Y’(t)

  • © Yao Wang, 2004 Video Basics 58

    QMA Modulation and Demodulation

    • Modulated signal:– M(t)=I(t)*cos(2πfct)+Q(t)*sin (2πfct)

    • Demodulated signal: – I’(t)=2*M(t)*cos(2πfct), Q’(t)=2*M(t)*sin(2πfct)– 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( 1tfπ

    )2sin( 1tfπ

    )(1 ts

    )(2 ts

    )(tmLPF

    LPF

    )2cos( 1tfπ

    )2sin( 1tfπ

    )(1 ts

    )(2 ts

    )(tm

    QAM modulator QAM demodulator

  • © 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)

    Mag

    nitu

    de (d

    B)

    0 2 4 6 8 10 12

    x 105

    -800

    -600

    -400

    -200

    0

    Frequency (Hz)

    Pha

    se (d

    egre

    es)

    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

  • © Yao Wang, 2004 Video Basics 60

    QAM Demodulation: Waveform

    I’(t)=2*M(t)*cos(2πfct) 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

    Gra

    y Le

    vel

    Time

    Original I

    0 0.5 1 1.5

    x 10-4

    -80

    -60

    -40

    -20

    0

    20

    40

    60

    80

    Gra

    y Le

    vel

    Time

    Demodulated I

    0 0.5 1 1.5

    x 10-4

    -80

    -60

    -40

    -20

    0

    20

    40

    60

    80

    Gra

    y Le

    vel

    Time

    Demodulation+LP F I

  • © 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

  • © 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

  • © Yao Wang, 2004 Video Basics 63

    Original color frame

    Recovered color frame

  • © 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

  • © Yao Wang, 2004 Video Basics 65

    Who uses what?

    From http://www.stjarnhimlen.se/tv/tv.html#worldwide_0

  • © 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

  • © 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

  • © Yao Wang, 2004 Video Basics 68

    BT.601* Video Format

    480

    lines

    525

    line

    s

    122pel

    16pel

    858 pels

    720 pels

    ActiveArea

    525/60: 60 field/s57

    6 lin

    es

    625

    line

    s

    864 pels

    132pel

    12pel

    720 pels

    ActiveArea

    625/50: 50 field/s

    * BT.601 is formerly known as CCIR601

  • © 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

  • © 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)

  • © 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

  • © 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

  • © 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