DocumentCode :
2836390
Title :
Video compression using integer DCT
Author :
Chen, Ying-Jui ; Soontorn Oraintara ; Nguyen, Truong
Author_Institution :
Dept. of Electr. Comput. & Eng., Boston Univ., MA, USA
Volume :
2
fYear :
2000
fDate :
10-13 Sept. 2000
Firstpage :
844
Abstract :
This paper describes the implementation of the integer discrete cosine transform (IntDCT) using the Walsh-Hadamard transform and the lifting scheme. The implementation is in the forms of shifts and adds, and all internal nodes have finite precision. A general-purpose scheme of 8-pt IntDCT with complexity of 45 adds and 18 shifts is proposed which gives comparable performance to the floating-point DCT (FloatDCT). For this particular scheme with 8-bit input, perfect reconstruction (PR) is preserved even when all the internal nodes are limited to 16-bit words, rendering the Pentium MMX optimization possible. Implementation has been done to incorporate the proposed IntDCT into the H.263+ coder, and the resulting system performs equally well as the original. Further extension to the MPEG coder is straightforward. The proposed IntDCT is reversible, with a low level of power consumption, and is very suitable for source coding, and communication, etc. in a mobile environment.
Keywords :
Hadamard transforms; code standards; computational complexity; digital arithmetic; discrete cosine transforms; image reconstruction; inverse problems; source coding; telecommunication standards; transform coding; video coding; 16 bit; 8 bit; H.263+ coder; MPEG coder; Pentium MMX optimization; Walsh-Hadamard transform; adds; complexity; finite precision internal nodes; floating-point DCT; integer DCT; integer discrete cosine transform; lifting scheme; low power consumption; mobile environment; perfect reconstruction; shifts; source coding; video compression; video/image coding standard; Arithmetic; Bit rate; Discrete cosine transforms; Discrete transforms; Energy consumption; Image coding; Image reconstruction; Kernel; Source coding; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC, Canada
ISSN :
1522-4880
Print_ISBN :
0-7803-6297-7
Type :
conf
DOI :
10.1109/ICIP.2000.899842
Filename :
899842
Link To Document :
بازگشت