Images and Sound 1.2 Flashcards

1
Q

types of image files - bitmap

A

BMP

JPG

GIF

PNG

TIFF

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2
Q

types of image files - vector

A

SVG

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3
Q

Bitmap images

A

-made from pixels

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4
Q

pixel is given

A
  • a colour
    -binary number which represents that colour
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5
Q

image resolution

A

the concentration of pixels within a
specific area

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6
Q

Increasing the number of colours in bitmap

A

More bits per pixel =
more colour combinations

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7
Q

bit depth

A

number of colours

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8
Q

higher bit depth

A

better variety of colours

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9
Q

bit depth formula

A

2 to the power of n
n = bits

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10
Q

size of a bitmap image

A

measured in pixels (width x height).

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11
Q

colours in pixel

A

Each pixel has a proportion
of red, green and blue
-makes one colour

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12
Q

colour values

A

expressed in
software as denary RGB values and in hexadecimal

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13
Q

metadata

A

Colour depth in bits per pixel

Resolution (Height and width in pixels)

Date created

Author

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14
Q

pros of colour values being in hex

A

-easier to read/write = reduces errors

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15
Q

RGB value range

A

-0 to 255
-each colour must be 8 bits to store range

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16
Q

entire pixel bit range

A

3 * 8 = 24 bits

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17
Q

transparency channel

A

-32 bits per pixel 8 bits are given
-allow a background to show through

18
Q

image size in bits

A

width * height * colour depth

19
Q

image size in bytes

A

(width * height * colour depth) /8

20
Q

analogue sound signals are

A

continuous

21
Q

Digital signals are

A

discrete

22
Q

how is Sound digitized

A

by repeatedly measuring and
recording the sound wave

23
Q

A to D converters

A

Sounds is converted to a digital form
= stored + processed by a computer

24
Q

An Analogue to Digital Convertor (ADC)

A

is used to
convert inputs to digital signals

25
Q

A Digital to Audio Convertor (DAC)

A

is used to
convert digital signals to outputs

26
Q

sound sampling

A

measurement of amplitude of a
sound wave at a given time

27
Q

how is sound sampled

A

-sample resolution (bit depth)
-sampling rate

28
Q

sampling rate

A

number of samples taken per second
(Hz)

29
Q

Sample resolution

A

The number of bits used to record
each measurement

30
Q

More bits used per sample =

A
  • the height of the wave to be more accurately measured
  • increases file size
31
Q

Hertz

A

1Hz = 1 sample per second

32
Q

sampling rate frequency

A

The greater the frequency, the greater the accuracy, and file size

33
Q

Calculating sound file sizes

A

sample rate x bit depth x duration

34
Q

Recording quality improves:

A

the more frequent
the more accurately recorded the wave height

35
Q

Increasing the sampling rate (frequency) =

A

means
recording more data points

36
Q

Increasing the bit-rate =

A

improves the accuracy of each
data point

37
Q

Lossy compression

A

removes sounds that
we can’t easily hear or that is unecessary

38
Q

Lossy compression cons

A

-leaves out some data
=affects quality

39
Q

Lossy compression pros

A

useful for storing,
downloading or streaming
-as it is smaller

40
Q

Lossless compression

A

-reduce the file size
when compressed but do not
lose any information
-can be decompressed

41
Q

eg of lossless

A

FLAC (Free Lossless Audio Codec)

ALAC (Apple Lossless Audio Codec)

WMA Lossless
(Windows Media Audio)