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Mindmap

Data Representation

dsupeda Englisch

Inhalt der Mindmap

Data Representation

  1. Digital Images

    • Made of tiny blocks called pixels
    • The more pixels, the higher resolution the image
    • The higher the resolution, the more memory needed
    • Can be either bitmaps or vectors
    • Bitmaps
      • Used for smartphones, digital cameras and online
      • Each colour is stored as a binary number
      • Common image files are JPEG, GIF and PING
  2. Compression

    • Compression is used to reduce file sizes and change various attributes of an image file
    • Attributes include file type, resolution, dimensions and bit depth
    • Can have lossless compression - does not lose picture quality as compressed e.g. PNG
    • Can have lossy compression - permanently removes data, loses picture quality e.g. JPG
  3. Audio

    • Affected by:
      • Sample Rate - the number of audio samples captured every second
      • Bit Depth - the number of bits available for each clip
      • Bit Rate - the number of bits used per second of audio
    • Measured in Hertz, or Cycles per Second. This is the frequency or speed
    • How loud the sound is is called Amplitude

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Mindmap am Data Representation, erstellt von dsupeda am 13/05/2015.
Erstellt von
dsupeda
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