Research on 2-D Integer SDCT Algorithm

Hai Yan Tang; Wen Bang Sun; De Bao Zhang; Yan Chang

doi:10.4028/www.scientific.net/AMR.756-759.1571

Paper Titles

Research on Image Color Balancing Based on Illumination Correction
p.1551

Design and Implementation of E-Government Platform Based on Web GIS and Cloud Computing
p.1556

The Exploration of Computer Assisted Language Learning and the Cultivation of Fresh Talents
p.1561

NOVA:A P2P-Cloud Vod System for IPTV with Collaborative Pre-Deployment Module Based on Recommendation Scheme
p.1566

Research on 2-D Integer SDCT Algorithm
p.1571

A Look into Content-Based Image Search Engine System
p.1576

Research of E-Government Security Plan System
p.1580

Web Data Extraction and Integration in Domain
p.1585

Web Data Extraction Based on Tag Path Clustering
p.1590

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Research on 2-D Integer SDCT Algorithm

Research on 2-D Integer SDCT Algorithm

Abstract:

Nowadays, 2-D DCT is applied widely. But the transform matrix of DCT is expressed with floating-point numbers, so the computational complexity is high and more system resources are occupied. In addition, the 2-D DCT is accomplished by operating 1-D DCT to the rows and columns of 2-D data successively, which cannt embody the total space characteristic of 2-D transform well. To overcome these drawbacks, 2-D integer SDCT (Sub-matrix Discrete Cosine Transform) was proposed in the paper. First, several matrix operation methods were defined. Then, the basic principle of 2-D integer SDCT was deduced in detail. The theoretic analysis show that 2-D integer SDCT is easy to comprehend, convenient to operate, and simplifies the calculation of 2-D DCT.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

1571-1575

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.1571

Citation:

Cite this paper

Online since:

September 2013

Authors:

Hai Yan Tang, Wen Bang Sun, De Bao Zhang, Yan Chang

Keywords:

2-D DCT, 2-D Integer SDCT, Integer Transform Basic Matrix

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Chen W. A., Harrison C., Fralick S. C. A Fast Computational Algorithm for the Discrete Cosine Transform. IEEE Transactions on Communications. Vol. 25 (1997), pp.1004-1011.

DOI: 10.1109/tcom.1977.1093941

Google Scholar

[2] Lee B G. A New Algorithm to Compute the Discrete Cosine Transform. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1984, ASSP-32(6), pp.1243-1245.

DOI: 10.1109/tassp.1984.1164443

Google Scholar

[3] Suehiro N. Fast algorithms for the DFT and other sinusoidal transform. IEEE Transactions on Acoustics Speech and Signal Processing. Vol. 34(1986), p.642~644.

DOI: 10.1109/tassp.1986.1164854

Google Scholar

[4] Giurcaneanu C.D., Tabus I. Low-complexity transform coding with integer-to-integer transforms. Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, ICASSP '01, Salt Lake City, Utah, USA, May 2001, Utah State University. Vol. Ⅳ, p.2601.

DOI: 10.1109/icassp.2001.940534

Google Scholar

[5] Cham W. K. Development of integer cosine transform by the principle of Dyadic Symmetyr. IEE Proceedings, 1989, p.276–288.

Google Scholar

[6] Giurcaneanu C.D., Tabus I. Low-complexity transform coding with interger-to-interger transforms. Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, ICASSP '01, Salt Lake City, Utah, USA, May 2001, Utah State University. Vol. Ⅳ, p.2601.

DOI: 10.1109/icassp.2001.940534

Google Scholar