Examining the Effects of Basis Function Truncation in the DGT
نویسندگان
چکیده
The Derivative of Gaussian Transform is a spatial/spatial frequency representation of an image that has been used in image and video compression algorithms. Both the forward and inverse transforms require O(N) operations. In this paper, we consider truncating the length N basis functions to produce a sparse basis matrix and thus to reduce the computational load of the reconstruction. We examine the effects of truncation on basis function energy and evaluate the change in a number of basis quality measures as the basis function length is decreased.
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