DocumentCode :
3061067
Title :
Recursive Computation of Forward Krawtchouk Moment Transform Using Clenshaw´s Recurrence Formula
Author :
Venkataramana, A. ; Raj, P. Ananth
Author_Institution :
Dept. of ECE, Gov. Polytech. Coll., Mahabubnagar, India
fYear :
2011
fDate :
15-17 Dec. 2011
Firstpage :
200
Lastpage :
203
Abstract :
Forward Krawtchouk moment transform (FKMT) needs more computations when a straightforward method of computation is chosen. Hence, this paper proposes a simple recursive method to reduce the number of computations using a Clenshaw´s recurrence formula. Further, it is also shown that the number of computations can still be reduced by using the symmetry property of weighted Krawtchouk polynomials that are used to define FKMT. The proposed approach is verified with theoretical calculations as well as CPU time required for computation of FKMT of 1D and 2D points. The obtained recursive structure is simple and modular, Hence, it is suitable for parallel VLSI implementation.
Keywords :
VLSI; image reconstruction; inverse transforms; method of moments; polynomials; recursive estimation; Clenshaw recurrence formula; FKMT; forward Krawtchouk moment transform; image reconstruction; parallel VLSI implementation; recursive method; weighted Krawtchouk polynomials; Educational institutions; Image analysis; Image reconstruction; Pattern recognition; Polynomials; Transforms; Very large scale integration; Clenshaw´s recurrence formula; Image Reconstruction; Krawtchouk moment transform; Very-large-scale-integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2011 Third National Conference on
Conference_Location :
Hubli, Karnataka
Print_ISBN :
978-1-4577-2102-1
Type :
conf
DOI :
10.1109/NCVPRIPG.2011.66
Filename :
6133035
Link To Document :
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