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

 Processing digital images by a digital
computer

 p = (r,c) is the pixel location indexed by row, r, and
column, c.
 I(p) = I(r,c) is the value of the pixel at location p.
 If I(p) is a single number then I is monochrome.
 If I(p) is a vector (ordered list of numbers) then I has
multiple bands (e.g., a color image).
Pixel Location: p = (r , c)
Pixel Value: I(p) = I(r , c)
Pixel : [ p, I(p)]










a grid of squares,
each of which
contains a single
color
each square is
called a pixel (for
picture element)
Color images have 3 values per
pixel; monochrome images have 1
value per pixel.
Usually with 2-bit
quantization, the
output intensities
are mapped to
{0,85,170,255},
and with with 1-bit
quantization, the
output intensities
are taken to be
{0,255}.

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Image processing

  • 1.
  • 2.    Processing digital images by a digital computer 
  • 3.  p = (r,c) is the pixel location indexed by row, r, and column, c.  I(p) = I(r,c) is the value of the pixel at location p.  If I(p) is a single number then I is monochrome.  If I(p) is a vector (ordered list of numbers) then I has multiple bands (e.g., a color image). Pixel Location: p = (r , c) Pixel Value: I(p) = I(r , c) Pixel : [ p, I(p)]
  • 4.
  • 7. a grid of squares, each of which contains a single color each square is called a pixel (for picture element) Color images have 3 values per pixel; monochrome images have 1 value per pixel.
  • 8.
  • 9. Usually with 2-bit quantization, the output intensities are mapped to {0,85,170,255}, and with with 1-bit quantization, the output intensities are taken to be {0,255}.