Title :
New finite state vector quantizers for images
Author_Institution :
AT&T Bell Lab., Murray Hill, NJ, USA
Abstract :
Two finite-state vector designs are introduced, namely, side-match vector quantizers (SMVQ) and overlap-match vector quantizers (OMVQ). The underlying ideas of SMVQ and OMVQ are simple and intuitive, and so are their design procedures. They try to avoid large grey-level transitions across pixel block (vector) boundaries which cause the annoying `blockyness´ effect in memoryless VQ. Experimental results show that when they are applied to 512×512 grey-level images, SMVQ and OMVQ can achieve communication-quality reproduction 33.5 dB peak-signal-to-noise ratio (PSNR) at the average rate of 1/2 bit per pixel per image frame and acceptable quality reproduction (30 dB PSNR) at 1/4 bit per pixel. These performances are superior to those of ordinary VQ by more than 3 dB in PSNR. Further, because block boundaries are less visible, the perceived improvement in quality over ordinary VQ is even greater
Keywords :
analogue-digital conversion; picture processing; 262144 pixel; 33.5 dB; 512 pixel; OMVQ; SMVQ; block boundaries; blockyness; communication-quality reproduction; finite state vector quantizers; grey-level images; images; overlap-match vector quantizers; side-match vector quantizers; Decoding; Image coding; PSNR; Pixel; Sampling methods; Speech coding; State-space methods; Vector quantization;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.196809