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Pearson 1CP2 - 2.2 - Image Representation

Total questions: 17

Worksheet time: 9mins

Name
Class
Date
1.

A bitmap is a digital image composed of a matrix of tiny blocks of colour

called...

a)
pixels
b)
dots
c)
squares
d)
circles
2.

What do we call a digital image composed of a matrix of tiny blocks of colour

called picture elements or pixels?

a)

Vector

b)

CAD

c)

Bitmap

d)

Square Matrix

3.

Every pixel on a computer screen is made from...

a)
combination of yellow, green, and blue values
b)
combination of red, orange, and blue values
c)
combination of black, white, and grey values
d)
combination of red, green, and blue values
4.

The size of an image (in pixels) is calculated by...

a)
subtracting the width and height of the image
b)
adding the width and height of the image
c)
multiplying the width and height of the image
d)
dividing the width and height of the image
5.

The resolution of an image means...

a)
The size of the image file
b)
The color balance of the image
c)
The number of pixels in the image
d)

The number of pixels displayed per inch

6.

The colour depth of an image means...

a)
The size of the image in pixels
b)
The speed at which the image is displayed
c)
The number of colors in the image
d)
The number of bits used to represent the color of a single pixel in an image.
7.

An image with a colour depth of 2 is able to display...

a)
4 different colours
b)
256 different colours
c)
16 different colours
d)
8 different colours
8.

An image with a colour depth of 3 is able to display...

a)
8 different colours
b)
2 different colours
c)
4 different colours
d)
16 different colours
9.

An image with a colour depth of 4 is able to display...

a)
16 different colors
b)
8 different colors
c)
64 different colors
d)
256 different colors
10.

An image with a colour depth of 8 is able to display...

a)
128 different colors
b)
256 different colors
c)
64 different colors
d)
16 different colors
11.

The greater the number of bits to represent the colour depth of an

image, the more...

a)
the image becomes black and white
b)
the image becomes smaller in size
c)
the image becomes blurrier
d)

colours can be represented

12.

The colour depth of an image is the number of bits used to...

a)

Encode the

colour of each pixel

b)
Calculate the brightness of the image
c)
Determine the resolution of the image
d)
Measure the size of the image
13.

What is the formula for calculating the file size (in bits) of an image?

a)
file size (in bits) = image width (in pixels) x image height (in pixels) x color depth (in bits per pixel)
b)
file size (in bits) = image width (in pixels) + image height (in pixels) + color depth (in bits per pixel)
c)
file size (in bits) = image width (in pixels) / image height (in pixels) x color depth (in bits per pixel)
d)
file size (in bits) = image width (in pixels) - image height (in pixels) - color depth (in bits per pixel)
14.

What is the formula for calculating the file size (in bytes) of an image?

a)

file size = image width * image height * color depth / 8

b)

file size = image width - image height + color depth / 8

c)

file size = image width / image height * color depth / 8

d)

file size = image width + image height + color depth / 8

15.

The formula for image size in bits is width (in pixels) X height (in pixels) X colour depth. What must we do to get the size in kibibytes?

a)

Multiply the size in bits by 8 and then by 1024

b)

Add the size in bits to 8 and then to 1024

c)

Subtract the size in bits 8 and then by 1024

d)

Divide the size in bits by 8 and then by 1024

16.

The formula for image size in bits is width (in pixels) X height (in pixels) X colour depth. What must we do to get the size in mebibytes?

a)

Multiply the size in bits by 8 and then by 1024, and then by 1024 again

b)

Add the size in bits to 8 and then to 1024, and then to 1024 again

c)

Subtract the size in bits 8 and then by 1024 and then by 1024 again

d)

Divide the size in bits by 8 and then by 1024 and then by 1024 again

17.

What is the disadvantage of increasing either the resolution, colour depth or size of an image?

a)
Larger file sizes and slower loading times
b)
Improved image quality
c)
Faster loading times
d)
Smaller file sizes