Lecture 1/2 Mathematical background/Images and Colours Flashcards

1
Q

What is the reflectance formula?

A

E: incident radiance
S: reflectance
R: outgoing radiance
lambda: wavelength

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2
Q

Visualize the visual spectrum

A
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3
Q

What are the purpose of rods and cones in the retina of the eye?

A

4 types of photoreceptors:
1 Rods: grey scale
3 Cones: RGB scale

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4
Q

Can RGB generate every
perceivable colour?

A

Yes, in theory, but some weights
would need to be negative …

In practice, R, G, B can generate a good
fraction of all visible colours

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5
Q

How are digital images perceived?

A

Digital images are 2D sampled representations (a 2D array)
of some continuous function, like a real scene

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6
Q

What are the sampled digital values of an image?

A

The sampled digital values are called pixels
– The smallest individual element in an image
- 1 pixel = single sampled colour
– Usually represented in
Red, Green, Blue (RGB)
– Can represent many
different colours

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7
Q

What is Rasterisation?

A

Rasterisation: convert a continuous or vector image
representation to a rectangular sampled grid of pixels

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8
Q

How is an analog signal sampled?
e.g. in a digital camera

A

Digital cameras have a CCD or CMOS sensor
with light sensitive elements, typically
arranged in a “Bayer” pattern

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9
Q

Visualise Image storage (grey scale)

A

Digital images are arranged in memory in scanline order:
– pixels from left to right within a row
– rows from top to bottom

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10
Q

Calculate the index in memory (row based index)

A
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11
Q

Calculate the index in memory (column based index)

A
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12
Q

Calculate the index in memory (row based index)

A

Colour images are arranged in memory with rows of RGB pixels:

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12
Q

Visualise Image storage (RGB)

A

Colour images are arranged in memory with rows of RGB pixels:

4 values per pixel (RGBA: RGB and “alpha” for opacity)

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12
Q

Calculate the index in memory (column based index)

A

Colour images are arranged in memory with rows of RGB pixels:

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13
Q

List the colour spaces and their applications

A
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14
Q

Consider a 10 megapixel image, stored
with RGB colours and 32 bits per pixel:

A

10×106 pixels × 4 bytes/pixel = 40 MB

15
Q

How many bits in a byte?
How many pixels in a megapixel?

A

8 bits in a byte
1*10^6 pixels in a megapixel

16
Q

What is a Lossless compression example?

A

Lossless compression: e.g. PNG/GIF using
LZW (Lempel-Ziv-Welch) coding (enumerate
frequent strings)

17
Q

What is a Lossy compression example?

A

Lossy compression: e.g. JPEG uses the DCT
(discrete cosine transform) to encode highfrequency components with fewer bits

18
Q

What are additive colours?

A
19
Q

What are subrtactive colours?

A
19
Q

Why might CMYK be used over CMY in a printer?

A

add black (K) to:
– accurately print black
(C+M+Y = muddy grey)
– save ink compared to
C+M+Y (lots of ink
soaks paper)
– print fine black text or
lines without having to
align colours carefully
– save money: black ink is
cheaper than coloured

20
Q

What is spot colour used for?

A

reproduce one colour perfectly

21
Q

What is a larger gamut used for?

A

reproduce more colours, giving a larger range

22
Q

Beyond CMYK? …

A

larger gamut: reproduce more colours

accuracy: more precise colour reproduction

spot colour: reproduce one colour perfectly

23
Q

Humans also perceive the brightness of different colours, how?

A

What colour is a traffic cone?

24
Q

What do HSV and HSL stand for?
When are they useful?

A

Often used for colour selection
in applications
– Hue, Saturation, Value (HSV)
– Hue, Saturation, Lightness (HSL)

25
Q

What is CIEXYZ?

A

A 3D space with XYZ axis, contributing wavelengths of RGB to the perceived colour.

X: red/green
Y: blue/yellow
Z: white/black

26
Q

What is CIE xyY?

A

A 2D space with xy axis, derived from CIEXYZ
x: chromaticity of colour
y: luminance (brightness)