In computer vision, Difference of Gaussians is a grayscale image enhancement algorithm that involves the subtraction of one blurred version of an original grayscale image from another, less blurred version of the original. The blurred images are obtained by convolving the original grayscale image with Gaussian kernels having differing standard deviations. Blurring an image using a Gaussian kernel suppresses only high-frequency spatial information. Subtracting one image from the other preserves spatial information that lies between the range of frequencies that are preserved in the two blurred images. Thus, the difference of Gaussians is a band-pass filter that discards all but a handful of spatial frequencies that are present in the original grayscale image.
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Famous quotes containing the words difference of and/or difference:
“One lesson we learn early, that in spite of seeming difference, men are all of one pattern. We readily assume this with our mates, and are disappointed and angry if we find that we are premature, and that their watches are slower than ours. In fact, the only sin which we never forgive in each other is difference of opinion.”
—Ralph Waldo Emerson (1803–1882)
“One lesson we learn early, that in spite of seeming difference, men are all of one pattern. We readily assume this with our mates, and are disappointed and angry if we find that we are premature, and that their watches are slower than ours. In fact, the only sin which we never forgive in each other is difference of opinion.”
—Ralph Waldo Emerson (1803–1882)