Basis Function Truncation Effect of the Gabor Cosine and Sine Transform


The KIPS Transactions:PartB , Vol. 11, No. 3, pp. 303-308, Jun. 2004
10.3745/KIPSTB.2004.11.3.303,   PDF Download:

Abstract

The Gabor cosine and sine transform can be applied to image and video compression algorithm by representing image frequency components locally. The computational complexity of forward and inverse matrix transforms used in the compression and decompression requiresoperations. In this paper, the length of basis functions is truncated to produce a sparse basis matrix, and the computational burden of transforms reduces to deal with image compression and reconstruction in a real-time processing. As the length of basis functions is decreased, the truncation effects to the energy of basis functions are examined and the change in various quality measures is evaluated. Experiment results show that 11 times fewer multiplication/addition operations are achieved with less than 1% performance change.


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Cite this article
[IEEE Style]
J. S. Lee, "Basis Function Truncation Effect of the Gabor Cosine and Sine Transform," The KIPS Transactions:PartB , vol. 11, no. 3, pp. 303-308, 2004. DOI: 10.3745/KIPSTB.2004.11.3.303.

[ACM Style]
Juck Sik Lee. 2004. Basis Function Truncation Effect of the Gabor Cosine and Sine Transform. The KIPS Transactions:PartB , 11, 3, (2004), 303-308. DOI: 10.3745/KIPSTB.2004.11.3.303.