Lecture 3/4 Display tech / Image formation and filtering Flashcards

1
Q

Why is a barrier needed between an object and film in a pin-hole camera?

A

To control the rays of light from the object
Only allowing light to enter through a pin-hole aperture.

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2
Q

Dimensionality Reduction Machine (?? to ??)
What does this machine accomplish?

A

Convert the 3D world to a 2D image

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3
Q

How does a large aperture affect an image?

A

Blurry and bright image

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4
Q

How will having a tiny aperture affect an image?

A

Too small an aperture will create a blurry and dark image

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5
Q

What does a lens do to an image?

A

A lens focuses parallel rays of light onto film
- Objects focus at a distance of f
- Other points project to a “circle of confusion” in the image
- Changing the shape of the lens changes the focal distance

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6
Q

How does focal distance relate to object and image distance?

A

f: focal distance
u: object distance
v: image distance

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7
Q

What shape does a lens take?

A

Lenses are typically spherical - this is easier to produce

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8
Q

What is D?

A

The aperture of diameter D restricts the range of rays
- aperture may be on either side of the lens

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9
Q

What is f?

A

The focal point is at a distance f beyond the plane of the lens
- f is a function of the shape and index of refraction of the lens

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10
Q

What are the effects of changing the aperture size?

A

Changing the aperture size affects the depth of field
- A smaller aperture increases the range in which the object is approximately in focus

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11
Q

Compare a camera to the human eye

A

Iris - colored annulus with radial muscles
Pupil - the hole (aperture) whose size is controlled by the iris

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12
Q

What’s the “film” equivalent in an eye?

A

photoreceptor cells (rods and cones) in the retina

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13
Q

What does this image (from a sensor array) show?

A

A continuous image projected onto a sensor array

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14
Q

What does this image (from a sensor array) show?

A

Result of image sampling and quantisation

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15
Q

How does a sensor array record light?

A

▪ turn continuous light into pixels
▪ cells detect photons (as electrons)
over an array of pixels

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16
Q

What is a CCD?

A

Stands for Charge Coupled Device. A type of image sensor.
They are serial devices where pixels
are read out one at a time.

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17
Q

What is a CMOS?

A

A type of image sensor.
each pixel contains an
amplifier, so read-out can be faster (than a CCD)

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18
Q

Why are there different image sensor types, what are they?

A

Different sensor types use different
approaches to read out electrons.
CCD - pixels read out 1 by 1
CMOS - each pixel contains an amplifier… faster read-out

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19
Q

What are the active image display technologies?

A

LCD - Liquid Crystal Display
Digital Mirror Displays
OLED
Plasma Displays
Cathode Ray Tube

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20
Q

What are passive image display technologies?

A

PRINTERS:
Laser printers
ink-jet printers
Commercial printers

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21
Q

What active image display is most common today?

A

LCD - Liquid Crystal Display

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22
Q

What active image display was standard for most of the 20th century?

A

Cathode Ray Tube

23
Q

What are OLEDs used for?

A

Expensive high end devices.
Emit RGB no need for a back light (like LCDs)

24
Q

What is a negative of plasma displays?

A

They’re power-hungry.
They were briefly popular.

25
How do LCDs work?
liquid crystals twist the polarisation of light - voltage across the liquid crystal controls how much light passes: – voltage on: no light (crystals align the electric field) – Voltage off: maximum light (crystals align to each other, smoothly twisting light)
26
How is light controlled when voltage is ON in an LCD display?
ON = No light crystals align with the electric field
27
How is light controlled when voltage is OFF in an LCD display?
OFF = Maximum light crystals align to each other, smoothly twisting light
28
How does the effect of quantisation vary as the bit number is increased?
More continuous and detailed image with more bits
29
How many bits (colour depth) are needed in a qunatised image?
30
What does error diffusion achieve
Error diffusion achieves visually more pleasing results by distributing quantisation errors across neighbouring pixels
31
How would you increase the brightness of an image?
Increase the value of each pixel by a fixed amount such that all pixel values are equal to or less than 255 (max)
32
In per pixel processing what is the image inversion equation?
Inverted Image
33
In per pixel processing what is the contrast enhancing equation?
34
What are these point-based filter maps showing?
Darkening and lightning
35
What are these point-based filter maps showing?
High and low contrast
36
What are these point-based filter maps showing?
Compressed to darks and compressed to lights
37
What are these point-based filter maps showing?
Emphasise shadows and lights
38
What are point-based filters?
These filters operate on a per-pixel basis. They involve applying a function to each pixel of an image individually, based on the value of that pixel. Common point-based filters: linear, median, and convolutional filters.
39
What are the limitations of a point-based filter?
Limited ability to capture structure and context: causes degraded image quality or loss of important image features. Sensitivity to noise: result in the amplification of noise and degraded image quality. Limited control: they apply a fixed function to each pixel. This can make it difficult to fine-tune the processing. Over- or under-processing: unnatural or distorted appearance.
40
How to overcome noise in point-based filters?
Use neighbourhood filters
41
What filter can be applied to an image to remove salt and pepper noise?
Median filter: this will replace each pixel with the median value of all pixels in its neighborhood. NOT A CONVOLUTION FILTER
42
What is the difference between correlation and convolution?
Convolution is correlation with the kernel rotated 180°
43
In a morphological filter, we can obtain erosion of a pixel using the following formula
44
In a morphological filter, we can obtain the dilation of a pixel using the following formula
45
In a morphological filter describe Opening
DILATION AFTER EROSION
46
In a morphological filter describe Closing
EROSION AFTER DILATION
47
What are examples of sobel filters?
Horizontal gradients Vertical gradients Diagonal gradients
48
What does a sobel filter kernel look like for: Horizontal gradients
49
What does a sobel filter kernel look like for: Vertical gradients
50
What does a sobel filter kernel look like for: Diagonal gradients
51
Show equation for a gaussian (low pass) filter
52
What are the fundamental differences between a box filter and a gaussian filter?
Box filter gives equal weight to all pixels Gaussian trusts the center pixel more
53
Visualise a kernel for A motion blur convolution filter
54
Visualise the convolution kernel: Sharpening using unsharp masking