Sliding block entropy coding of images
Robert Alan Cohen, John W. Woods · International Conference on Acoustics, Speech, and Signal Processing · 2003
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.>