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What are alternate names for filters?
Masks, kernels , templates and windows
What are the two parts of a spatial filter?
1. A neighbourhood
2. A predefined operation
What is spatial correlation?
The process of moving a filter mask over the image and computing the sum of products at each location
What is spatial convolution?
The same as spatial correlation expect the filter is rotated by 180 degrees.
What are smoothing filters used for?
Blurring an image (commonly used for noise reduction)
What is the output of a smoothing linear spatial filter?
The average of the pixels contained in the neighbourhood
What is the best example of a order statistics (nonlinear) filter?
A median filter
What are median filters good for?
They are effective with dealing with impulse noise (also known as salt and pepper noise)
What is the objective of a sharpening spatial filter?
Highlighting fine details in an image or enchanting details that have been blurred.
How is sharpening accomplished?
Spatial differentiation
Requirements for any definition we use for a first derivative?
1. Must be zero in flat segments
2. Must be nonzero at the onset of a gray-level or ramp
3. Must be nonzero along ramps
Requirements for any definition we use for a second derivative?
1. Must be not zero in flat areas
2. Must be nonzero at the onset and end of a gray-level step or ramp
3. Must be zero along ramps of constant slope
What are the most used gradient masks?
1. Prewitt
2. Sobel
What does Laplacian produce?
Produces images with grayish edge lines superimposed on a dark background
What is unsharp masking?
Getting a sharpened image by subtracting a smoothed version of the image from the original one
What are the 3 steps for unsharp masking?
1. Blur original image
2. Subtract the blurred image from the original one
3. Add the mask to the original
