On Implicit Image Derivatives and Their Applications
نویسنده
چکیده
Fast and reliable estimation of image derivatives is among the most fundamental tasks of low level image processing. Implicit finite differences offer much higher spectral resolving efficiency compared to explicit finite differences while the computational effort increases only slightly. Although implicit finite differences had become known to a general audience of numerical mathematicians and computational physicists after Collatz’ book [2], their heyday began after Lele’s seminal paper [4] where a remarkable performance of implicit finite differences for computational problems with a range of spatial scales was analyzed and demonstrated.
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