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Wavelab Toolbox >> Wavelab Toolbox > Interpolating Refinements and Wavelet Transforms > AIRefine2d

AIRefine2d

2-d Refinement based on Average-Interpolation

Calling Sequence

fine  = AIRefine2d(coarse,L,D,Filter,Efil)

Parameters

Inputs:

coarse:

2-d image at a coarse scale: length(coarse)=n

L :

integer >=1. number of generations to refine by

D :

D degree of polynomials used for interpolation

Filter:

interpolating filter from MakeAIFilter(D)

EFil :

Boundary filter from MakeAIBdryFilter(D)

Outputs:

fine :

2-d image at a fine scale: size(fine) = 2^L * size(coarse)

Description

Average-Interpolating Refinement scheme is used to refine boxcar averages on a grid of n*n points, imputing averages on a finer grid of 2^L n * 2^L n points.

See also

Authors

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