DocumentCode :
118118
Title :
Design of approximated DCT with large size and its application to image matching
Author :
Ito, Izumi ; Truong Nguyen
Author_Institution :
Decision Sci. & Technol., Tokyo Inst. of Technol., Tokyo, Japan
fYear :
2014
fDate :
9-12 Dec. 2014
Firstpage :
1
Lastpage :
4
Abstract :
We present the design of approximated discrete cosine transform (DCT) with large size and its performance. The approximated DCT is designed using Wang´s matrix factorization algorithms with fixed-point parameters and the size greater than 2k, k > 4 is focused. So far, the specific parameters and performance of approximated DCT with large size have not been presented. In addition, we apply the sign of approximated DCT to image matching. Compared to floating-point DCT, the superior performance of the sign of the approximated DCT is demonstrated through experimental results.
Keywords :
approximation theory; discrete cosine transforms; image matching; Wang matrix factorization algorithms; approximated DCT; approximated discrete cosine transform; fixed-point parameters; image matching; Approximation algorithms; Approximation methods; Correlation; Discrete cosine transforms; Image matching; Matrix decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Asia-Pacific Signal and Information Processing Association, 2014 Annual Summit and Conference (APSIPA)
Conference_Location :
Siem Reap
Type :
conf
DOI :
10.1109/APSIPA.2014.7041628
Filename :
7041628
Link To Document :
بازگشت