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Fast Lic ( FLIC)
The computation can be significantly accelerated by re-using parts of already computed field lines, specializing to a box function as convolution kernel <math>k(s)</math> and avoiding redundant computations during convolution.<ref name="Stalling 1995" /> The resulting fast LIC method can be generalized to convolution kernels that are arbitrary polynomials.<ref name="Hege 1998">{{Citation | first1 = Hans-Christian | last1 = Hege | first2 = Detlev | last2 = Stalling | chapter = Fast LIC with
===OLIC===
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=== Parallel versions ===
Since the computation of a LIC image is expensive but inherently parallel, it has also been parallelized<ref name="Zoeckler 1996">{{cite journal | last1 = Zöckler | first1 = Malte | last2 = Stalling | first2 = Detlev | last3 = Hege | first3 = Hans-Christian | title = Parallel Line Integral Convolution | journal = Parallel Computing | volume = 23 | issue = 7 | pages = 975–989 | publisher = North Holland | ___location = Amsterdam | url = http://www.zib.de/visual-publications/sources/src-1996/parLIC.pdf | year = 1997 | issn = 0167-8191 | doi = 10.1016/S0167-8191(97)00039-2 }}</ref> and, with availability of GPU-based implementations, it has become interactive on PCs. Also for UFLIC an interactive GPU-based implementation has been presented.<ref name="Ding 2015">{{cite conference |
===Multidimensional===
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