Title :
Real-time VLSI architecture for a VQ-based high-quality image coding algorithm
Author :
Dezhgosha, K. ; Jamali, M.M. ; Kwatra, SC
Author_Institution :
Dept. of Electr. Eng., Toledo Univ., OH, USA
Abstract :
A real-time vector quantizer (VQ) architecture for broadcast quality encoding of color TV images is presented. The architecture maps the mean/quantized residual vector quantizer (MQRVQ), an extension of mean/residual VQ, onto a VLSI/LSI chip set. The MQRVQ contributes to the feasibility of the VLSI architecture through the use of a simple multiplication-free distortion measure and reduction of the required memory per codevector. In other words, the complexity-reduced MQRVQ allows each subcodebook of 128 codevectors (10 kb) and its associated encoding elements to be fitted onto a VLSI chip. This architecture reduces encoding search complexity through partitioning of a large codebook into on-chip memories of a concurrent VLSI chip set. There are 64 of these VLSI chips to accommodate a codebook with size up to 213=8192 codevectors. The architecture is capable of real-time processing of 480×768 pixels per frame with refreshing rate of 30 frames/second
Keywords :
VLSI; analogue-digital conversion; colour television; digital signal processing chips; encoding; picture processing; real-time systems; VLSI architecture; VLSI/LSI chip set; broadcast quality encoding; codevector; color TV images; image coding algorithm; mean/quantized residual vector quantizer; real-time vector quantizer; Bit rate; Computational complexity; Computer architecture; Distortion measurement; Image coding; Image storage; Random access memory; Semiconductor device measurement; TV broadcasting; Very large scale integration;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266957