Color, Image Filtering Flashcards

1
Q

What do rods and cones do in our eyes

A

Rods detect light, cones detect color

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2
Q

Where are cones more concentrated in our eyes

A

Closer to the centre of our peripheral vision

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3
Q

Human vision is based on 3 colors, what is the term for this

A

Trichromatic vision

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4
Q

Why is RGB not the most efficient way of storing images?

A

Each channel, R G and B has lots of information, the image can be recognized by looking at any channel, meaning there should be a more efficient way of storing the image channels.

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5
Q

What are the channels in Y Cb Cr image encoding

A

Y = Luminance
Cb = Blue Difference (from luminance)
Cr = Red Difference (from luminance)

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6
Q

What are the channels in YUV image encoding

A

Y = Luminance
U, V = Chroma

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7
Q

What is the alpha channel for in image encoding

A

The alpha channel represents the opacity/transparency of the image

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8
Q

Cross correlation vs. convolution

A

Cross correlation - The filter/kernel is slid across all elements, performing element wise multiplication at each step, then summing
Convolution - the kernel is flipped horizontally and vertically before sliding across elements, then performing element wise multiplication and summing

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9
Q

Properties of convolution

A

Associative - ab = ba
Commutative - a(bc) = (ab)c
Distributes over addition - a(b+c) = ab + ac
Scalars factor out - ka
b = akb = k(ab)

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10
Q

Noise

A

Visual artifacts that occur because the camera cannot fully approximate the image

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11
Q

What’s a way we can sharpen an image with a gaussian filter

A

Take the gaussian filter of the image = imgaus
Sharpened image = image + (image-imgaus)

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12
Q

What type of noise is median filter good at removing

A

Salt and pepper noise

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