Color Spaces and Distances
13 important questions on Color Spaces and Distances
What is the challenge that a color space aims to tackle?
And additionally as well attempt to describe it in such a way to describe similarity between pixels, thus colors. And this is something more subjective to the human mind.
How does light correspond to visual interpretation?
Describe the RGB color space format
Additive color space
Intensity relies on all three dimensions
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Describe the HSV color space format
Hue describes color
Saturation grayness
Value the intensity
Saturation doesnt carry much information and can therefore oftentimes be neglected
Why is the CIELAB color space an effective data format to use in consideration of color correction?
Its like HSV on steriods
Describe the single channel color value distance between two respective pixels A and B
Describe the formula to compute the distance between two pixel colors with the L1 Manhatten distance function
Describe the formula to compute the distance between two 3-channel pixel values with the L2 Euclidean distance function
Then, sum the results of the three channels
Last, take the squared root
How can we decide on whether there is similarity between a single pixel in consideration of a group of pixels?
Then we can compute the distance of the single pixel to the mean pixel color, and we see if its appearance is within the threshold (of similarity).
In the comparison of a pixel to a group of pixels, what does a low variance in the Gaussian distribution imply for the acceptance rate?
Describe the Mahalanobis distance function in order to compute the distance of a three-channel pixel color value to the Gaussian distribution of a pixel set.
What does the standard deviation describe about a Gaussian distribution?
Twice the standard deviation describes where 19/20 of the data recides.
Triple the standard deviation describes where 997/1000 of the data recides.
Name a few approaches to play with the color distance computation.
- Omit channels from the distance
- Scale distances differently per channel, or apply different thresholds in the case of the Mahalanobis distance function
- Adapt threshold based on HSV intensity
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