Midterm Flashcards

1
Q

Define bit

A

0 or 1 (binary digit)

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2
Q

define byte

A

8 bits or one word

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3
Q

normal display amount of bits

A

8 bit = 2^8= 256

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4
Q

true color

A

8 bits per color or 256 ^3

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5
Q

what is a digital image made of

A

pixels arranged in rows and columns on a matrix defined by its height and width

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6
Q

explain sampling and quantization

A

sampling is essentially the number of pixels while quantization is the value given to the pixels

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7
Q

nyquist theorem

A

Must sample at twice the highest frequency present in subject to visualize

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8
Q

in digital imaging how is sampling frequency determined

A

by pixel size and spacing (resolution)

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9
Q

Theoretical vs actual resolutions

A

MTF (modulation transfer function) yields actual resolutions of 1/2 to 3/4 of theoretical

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10
Q

causes of noise

A

Sensor related: Pixel cross-talk, Dark current, Excessive gain
System related: Scatter radiation, Collimation, Photon output

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11
Q

dynamic range

A

the largest possible signal divided by the smallest possible signal it can generate. The largest possible signal is directly proportional to the full well capacity of the pixel. The lowest signal is the noise level when the sensor is not exposed to any light, also called the “noise floor”.

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12
Q

types of image enhancements

A

spatial domain (point and group) and frequency domain

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13
Q

what does spatial frequency measure

A

how rapidly parts of the image change brightness

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14
Q

loss pass filter, smooths high frequency areas (softens the abrupt changes in brightness)

A

adds together the adjacent boxes and multiplies by the inverse of the number of boxes (ie for a 3 x 3 boxcar, add all up and multiply by 1/9)

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15
Q

high pass filter

A

sharpens image, removes low frequencies

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16
Q

two types of image files

A

vector: doesn’t use pixels matrix, best for drawings or illustrations (PDF, WMF, SVG)
Bitmap or Raster: most commonly used (JPEG, TIFF, BMP, PNG, GIF)