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The Tenengrad Operator
The Tenengrad operator is used in image processing, particularly within edge detection algorithms as a measure of image sharpness. Technically, it is a discrete differentiation operator, computing an approximation of the gradient of the image intensity function. It is based upon partial derivatives at each pixel position that themselves are derived using a high-pass filter. The Sobel operator is one such common high-pass filter used to compute the Tenengrad criteria.
The value of the Tenengrad Operator can be expressed as
S(x,y) = square_root ( square(Ix) + square(Iy) )
| This is not a Wikipedia article: It is an individual user's work-in-progress page, and may be incomplete and/or unreliable. For guidance on developing this draft, see
Wikipedia:So you made a userspace draft. Find sources:
Google (
books ·
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scholar ·
free images ·
WP refs) ·
FENS ·
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TWL |
The Tenengrad Operator
The Tenengrad operator is used in image processing, particularly within edge detection algorithms as a measure of image sharpness. Technically, it is a discrete differentiation operator, computing an approximation of the gradient of the image intensity function. It is based upon partial derivatives at each pixel position that themselves are derived using a high-pass filter. The Sobel operator is one such common high-pass filter used to compute the Tenengrad criteria.
The value of the Tenengrad Operator can be expressed as
S(x,y) = square_root ( square(Ix) + square(Iy) )