Title :
Sliding block entropy coding of images
Author :
Cohen, Robert A. ; Woods, John W.
Author_Institution :
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
The authors compare various options for combining linear prediction with vector quantization for purposes of image coding. A previously developed algorithm called sliding block predictive vector quantization (SBPVQ) is extended with multiple-level quantizers (i.e. n>2), and is compared to vector-predictive quantization (VPQ). The particular version considered here is termed sliding block vector predictive quantization (SBVPQ) and uses a (M,L) tree search on the encoded blocks. Arithmetic coding is used to transmit the SBPVQ and SBVPQ encoded data at rates closer to their output entropy than rates obtained with fixed-rate coding
Keywords :
encoding; filtering and prediction theory; picture processing; SBPVQ; SBVPQ; arithmetic coding; image coding; linear prediction; multiple-level quantizers; sliding block entropy coding; sliding block predictive vector quantization; sliding block vector predictive quantization; tree search; vector quantization; vector-predictive quantization; Arithmetic; Clustering algorithms; Entropy coding; Image coding; Pixel; Speech coding; Systems engineering and theory; Technological innovation; Tree data structures; Vector quantization;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266783
