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Digital Media

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Digital Media Dr. Jim Rowan ITEC 2110 Color – PowerPoint PPT presentation

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Title: Digital Media


1
Digital Media
  • Dr. Jim Rowan
  • ITEC 2110
  • Color

2
Question!
  • Inside Photoshop and Gimp there are image filters
    that, among other things, allow you to blur the
    image. To do this these filters use a complex
    mathematical process. What is the mathematical
    process called?
  • Send answer to
  • dr.jimrowan_at_gmail.com

3
COLOR
  • Is a mess
  • Its a subjective sensation PRODUCED in the brain
  • Color differs for light and paint/ink
  • Printing is different than viewing a monitor
  • a monitor EMITS light of a specific wavelength
    (or a combination of them)
  • print is like paint... it absorbs all the colors
    EXCEPT the color that you see which is reflected
    by the paint
  • a ball that is painted yellow and is viewed in a
    room that is lit by a light that is completely
    blue will look black... Why?

4
Light
  • Is electromagnetic radiation (just like
    microwaves and radio signals... just different
    wavelengths)
  • Visible light has a wavelength that is between
    400 and 700 nanoMeters
  • A nanoMeter is 1 billionth of a meter...
  • HINT Its a very short wave

5
http//en.wikipedia.org/wiki/Electromagnetic_spect
rum
6
Light
  • Visible light is a mix of different wavelengths
    of light at different intensities
  • Light isnt just light
  • The sun has one Spectral Power Distribution,
    fluorescent light another, a camera flash another
    and an LED light another

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Color
  • We need to reproduce it electronically and
    manipulate it digitally
  • So we need a way to model color.
  • i.e. we need a way to convert a subjective
    sensation to a reproducible physical phenomenon

9
But first Bird eye trivia
  • Eagles have 600,000 cones per square mm of
    retina, humans have 150,000
  • The chestral (a bird) has cones that can see UV
    light (we dont)
  • Owls see with their ears
  • they have flaps that are offset in front of the
    ear openings to detect vertical positioning

10
One model of colorroughly based on the eye
  • Rods(night vision, BW)
  • Cones (3 kinds, one for red, one for blue and one
    for green)
  • gt RGB
  • tri-stimulus theory the theory that states any
    color can be completely specified with just 3
    values

11
RGB
  • Color is specified by 3 numbers
  • one for red
  • one for green
  • one for blue
  • Color is displayed on a monitor by 3 different
    colored things
  • one for red
  • one for green
  • one for blue

12
The 3 colored things
  • Phosphor for a CRT and some Flat panel displays
  • Pockets of fluorescent gas for Plasma panel
  • plus a bunch of other varieties...
  • All of them have the ability to adjust the
    intensity of each of the three colored things
    resulting in the display of most (Not All!) of
    the visible colors
  • Why not all colors gt

http//en.wikipedia.org/wiki/Computer_display
13
RGB...Good but not all visible colors
  • In truth, the 3 different cones in the eye are
    cross connected in very complex ways
  • This keeps the model, which assumes (wrongly)
    that each is strictly sensing R or G or B
  • gt RGB cannot completely reproduce the visual
    stimulus

14
Gamut The complete range or scope of something
15
RGB
  • Pure red
  • (100, 0, 0)
  • (255,0,0)
  • Pure green
  • (0, 100, ,0)
  • (0,255,0)
  • Pure blue
  • (0, 0, 100)
  • (0,0,255)
  • Gray? R G B
  • (25,25,25)
  • (150,150,150)

16
Mixing the Color of Light
  • is an additive process
  • monitors emit light
  • is not like mixing paint
  • mixing paint is a subtractive process
  • paint absorbs light

17
How many colors?
  • Different cultures have different ideas about
    when 2 colors differ
  • People individually differ in their ability to
    distinguish between two colors
  • With the range of 0-255
  • which can be encoded in 1 byte (8 bits)
  • The combinations of Red, Green and Blue results
    in 16.8 million possibilities
  • with 4 binary digits 24 16
  • with 3 digits that can have 256 different values
  • 2563 16,777,216

18
Color Depth
  • Usually expressed in bits
  • One byte for each of the RGB gt 24 bits
  • Back to binary...
  • 1 bit gt 21 gt 2 choices
  • 2 bits gt 22 gt 4 choices
  • 4 bits gt 24 gt 16 choices
  • 8 bits gt 28 gt 256 choices

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Color and Grey
  • RGB (0, 0, 0) is black
  • Macs and PCs are opposite go figure!
  • RGB (255, 255, 255) is white
  • When R G B you get grey
  • RGB (25, 25, 25) is dark grey
  • RGB (200, 200, 200) is light grey

21
Color at 16 bit Color Depth16 bits total to
represent a color
  • RGB at 24 bits
  • 24 bits gt 3 bytes
  • 3 bytes, 3 colors gt one byte per color
  • RGB at 16 bits
  • 16 bits gt 2 bytes
  • 2 bytes, 3 colors...
  • 16/3 5 bits with one left over...
  • HMMMmmmm...
  • What to do?

22
16 bit color
  • 16/3 5 bits with one bit left over...
  • What to do with the extra bit?
  • Go back to human perception
  • Humans do not discriminate Blue as well as they
    do Green vision
  • Evolutionary roots?
  • Our environment is green
  • Lots of green to discriminate
  • Assign 5 bits to R B, and 6 bits to G
  • allows twice (how?) as many greens as blues

23
Why more than 16.8 million?
  • 24 bits is plenty for human vision...
  • 30 and 48 bit color are WAY more than needed for
    human vision...
  • If you scan at 48 bit color there is a lot of
    information buried in the image than we can see
    BUT...
  • This information can be used by the program to
    make extremely fine distinctions during image
    manipulation (edge finding for example)
  • (Failed rocket engine example)

24
Why worry about color depth?
  • One reason file size
  • Any reduction in color depth has a 3-fold effect
    on the final image size
  • A 100X100 RGB image
  • at 24 bit color gt 30,000 bytes uncompressed
  • at 16 bit color gt 20,000 bytes uncompressed
  • 1 byte gt 1/3 reduction of size

25
Why is too big bad?
  • It wastes valuable computer resources
  • hard drive disk space
  • vram space
  • data transit time
  • Sure, computers are really fast and big now
    BUT...
  • Consider Video...

monitor
VRAM
main memory
internet
hard drive
26
Indexed color
  • Weve seen this before... the color table
  • Used by a number of file formats
  • tiff, png, bmp, gif,
  • Use a table (color palate) to store colors
  • Use a map of logical colors to reference the
    color map

27
Indexed (indirect) color vs. 8 bit (direct) color
  • 8 bit color defines only 256 colors
  • Indexed color allows 256 different colors
  • Whats the difference?
  • 8 bit defines 256 colors---whether they are used
    or not
  • Indexed color allows 256 different colors that
    exist in the image

28
Indexed color vs. 8 bit direct color
  • 8 bit direct color... an example
  • suppose...
  • Red gets 3 bits gt 000, 001, 010, 011... 111
    gt 8 values
  • Green gets 3 bits gt 000, 001, 010, 011... 111
    gt 8 values
  • Blue gets 2 bits gt 00, 01, 10, 11 gt 4 values
  • total different colors gt 8 x 8 x 4 256
    different colors
  • But images in nature have a narrower range of
    colors... a palate
  • With indirect color you can store 256 different
    colors that are actually found in the image
  • results in an image that more closely mimics the
    image

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Indexed (indirect) colorwith 256 colors in palate
  • Even though it allows for a closer-to-real-life
    image, some colors must be modified
  • How to do this?
  • use the nearest color
  • optical mixing... dithering

31
Nearest color
  • Loss of some detail
  • Distorted color
  • Generates artifacts
  • Banding or posterization
  • Example gt

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Optical mixing Dithering
  • Dithering uses a group of colors to approximate
    the desired color
  • Works well for high resolution images
  • (why?)
  • Works poorly for low resolution images
  • (why?)

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Questions?
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