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14                                   Chapter 2.  Video Coding:  Fundamentals


               The amplitude of the  ltered analog signal is then sampled at speci c time
            instants  to  generate  a  discrete-time  signal.  The  minimum  sampling  rate  is
            known as  the  Nyquist  rate  and is  equal to  twice the signal  bandwidth.
               The  resulting  discrete-time  samples  have  continuous  amplitudes.  Thus,  it
            would  require  in nite  precision  to  represent  them.  The  quantization  operation
            is used to map such values onto a  nite set of discrete amplitudes that can be
            represented by a  nite  number  of  bits.
               Each  discrete-time,  discrete-amplitude  sample  is  called  a  picture  element
            and  is  usually  abbreviated  to  a  pel  or  a  pixel.  The  pels  are  arranged  in  a
            two-dimensional  (2-D)  array  to  form  a  digital  still  image  or  a  digital  frame.
            A digital video consists  of  a sequence  of  such  digital frames.
               For color video, the foregoing operations are repeated for each component.
            Thus, a digital still image would normally be represented by three 2-D arrays.
            Almost  all  digital  video  systems  use  component  representation.  This  avoids
            the artefacts that result from composite  encoding. 9
               As  an  example,  consider  the  digitization  of  a  625=50  PAL  analog  signal.
            The  luma  and  chroma  components  are   rst   ltered  to  5:5MHz  and  1:5MHz,
            respectively. During sampling, minimum sampling frequencies of 11 MHz and
            3MHz must be used to sample the luma and chroma components, respectively.
            The  resulting  discrete-time  signals  are  then  quantized  to  a  given  precision
            (usually 8 bits).

            2.4.3  Chroma Subsampling

            As  already  mentioned,  the  HVS  has  poor  response  to  chrominance  spatial
            detail  compared  to  its  response  to  luminance  spatial  detail.  This  property  can
            be  exploited  to  reduce  bandwidth  requirements  by  subsampling  the  chroma
            components.  The  most  commonly  used  subsampling  patterns  are  illustrated
            in  Figure  2.2.  In  4:2:2  subsampling,  the  chroma  components  are  subsampled
            by  a  factor  of  2  horizontally.  This  gives  a  reduction  of  about  33%  in  the
            overall  raw  data  rate.  In  4:1:1  subsampling,  the  chroma  components  are  sub-
            sampled  by  a  factor  of  4  horizontally,  giving  a  reduction  of  50%.  In  4:2:0
            subsampling,  the  chroma  components  are  subsampled  by  a  factor  of  2  both
            horizontally  and  vertically,  giving  a  reduction  of  50%  in  the  overall  raw
            data  rate.  Vertically  subsampled  chroma  samples  are  always  sited  midway
            between  luma  samples.  Horizontally  subsampled  chroma  samples,  however,





              9 As  already  discussed,  composite  encoding  is  used  in  analog  systems  to  save  bandwidth.  In
            digital systems, however, bandwidth is saved using digital video compression techniques, as will
            be described later.
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