Construct · 1 fields · 1 citations

total variation denoising: a standalone construct

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Image processing

removing noise by finding the image closest to the data that has minimal total variation, which keeps sharp edges.

In image processing, total variation denoising refers to removing noise by finding the image closest to the data that has minimal total variation, which keeps sharp edges. This meaning comes from Rudin (1992) in Physica D: Nonlinear Phenomena.[1]

Unit
Recovery means
Measured by

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Nearby constructs

image4 fields · 5 citationsjingle · one word, four constructs noise4 fields · 5 citationsjingle · one word, four constructs variation4 fields · 7 citationsjingle · one word, four constructs

References

Rudin, L. I., Osher, S., & Fatemi, E. (1992). Nonlinear total variation based noise removal algorithms. Physica D: Nonlinear Phenomena, 60(1-4), 259-268. https://doi.org/10.1016/0167-2789(92)90242-f

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