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interpolate

# interpolate - between four different mappings in order to...

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function [subImage] = interpolate(subBin,LU,RU,LB,RB,XSize,YSize) % pImage - pointer to input/output image % uiXRes - resolution of image in x-direction % pulMap* - mappings of greylevels from histograms % uiXSize - uiXSize of image submatrix % uiYSize - uiYSize of image submatrix % pLUT - lookup table containing mapping greyvalues to bins % This function calculates the new greylevel assignments of pixels within a submatrix % of the image with size uiXSize and uiYSize. This is done by a bilinear interpolation
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Unformatted text preview: % between four different mappings in order to eliminate boundary artifacts. % It uses a division; since division is often an expensive operation, I added code to % perform a logical shift instead when feasible. % subImage = zeros(size(subBin)); num = XSize * YSize; for i = 0:XSize-1 inverseI = XSize - i; for j = 0:YSize-1 inverseJ = YSize - j; val = subBin(i+1,j+1); subImage(i+1,j+1) = fix((inverseI*(inverseJ*LU(val) + j*RU(val)) . .. + i*(inverseJ*LB(val) + j*RB(val)))/num); end end e...
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