DocumentCode :
1552379
Title :
Fast multiplierless approximations of the DCT with the lifting scheme
Author :
Liang, Jie ; Tran, Trac D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
Volume :
49
Issue :
12
fYear :
2001
fDate :
12/1/2001 12:00:00 AM
Firstpage :
3032
Lastpage :
3044
Abstract :
We present the design, implementation, and application of several families of fast multiplierless approximations of the discrete cosine transform (DCT) with the lifting scheme called the binDCT. These binDCT families are derived from Chen´s (1977) and Loeffler´s (1989) plane rotation-based factorizations of the DCT matrix, respectively, and the design approach can also be applied to a DCT of arbitrary size. Two design approaches are presented. In the first method, an optimization program is defined, and the multiplierless transform is obtained by approximating its solution with dyadic values. In the second method, a general lifting-based scaled DCT structure is obtained, and the analytical values of all lifting parameters are derived, enabling dyadic approximations with different accuracies. Therefore, the binDCT can be tuned to cover the gap between the Walsh-Hadamard transform and the DCT. The corresponding two-dimensional (2-D) binDCT allows a 16-bit implementation, enables lossless compression, and maintains satisfactory compatibility with the floating-point DCT. The performance of the binDCT in JPEG, H.263+, and lossless compression is also demonstrated
Keywords :
approximation theory; data compression; discrete cosine transforms; matrix decomposition; optimisation; transform coding; video coding; 2D binDCT; DCT matrix factorization; H.263+; JPEG; Walsh-Hadamard transform; discrete cosine transform; fast multiplierless approximations; lifting scheme; lossless compression; multiplierless transform; optimization program; plane rotation-based factorizations; two-dimensional binDCT; video coding; Discrete cosine transforms; Discrete transforms; Hardware; Helium; Optimization methods; Performance loss; Quantization; Software algorithms; Transform coding; Two dimensional displays;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.969511
Filename :
969511
Link To Document :
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