DocumentCode :
463585
Title :
Low Complexity Fixed-Point Approximation of Inverse Discrete Cosine Transform
Author :
Reznik, Yuriy A. ; Hinds, Arianne T. ; Rijavec, N.
Author_Institution :
QUALCOMM, Inc., San Diego, CA
Volume :
1
fYear :
2007
fDate :
15-20 April 2007
Abstract :
This paper presents an efficient algorithm for computing the Inverse discrete cosine transform (IDCT) for image and video coding applications. This algorithm was submitted in response to MPEG´s call for proposals for ISO/IEC 23002-2 (fixed-point 8times8 IDCT and DCT) standard, and was subsequently adopted in the Working Draft 1 of this standard. Our proposed algorithm is a multiplication-free implementation. It is based on a modification of Arai, Agui, and Nakajima´s (AAN) factorization, and requires only 42 addition and 16 shift operations per scaled ID transform. Each register in our scaled ID transform requires at most 22 bits. This implementation complies with the MPEG IDCT precision specification ISO/IEC 23002-1.
Keywords :
discrete cosine transforms; video coding; ISO/IEC 23002-2; MPEG IDCT; image coding; inverse discrete cosine transform; low complexity fixed-point approximation; video coding; Approximation algorithms; Decoding; Discrete cosine transforms; IEC standards; ISO standards; Image reconstruction; MPEG standards; Proposals; Strontium; Video coding; DCT; IDCT; factorization; multiplier-less algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
ISSN :
1520-6149
Print_ISBN :
1-4244-0727-3
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2007.366106
Filename :
4217278
Link To Document :
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