1 June 2000 Predictive subcodebook search algorithm for vector quantization
Author Affiliations +
Optical Engineering, 39(6), (2000). doi:10.1117/1.602521
Abstract
A novel variable-rate image-coding scheme called the predictive subcodebook search algorithm (PSS) is proposed. In PSS, the initial searched codeword for each input vector is predicted by its encoded neighbors and the closest codeword in the codebook is searched from a specific range (or subcodebook) that is determined dynamically according to the block type of its encoded neighbors. In addition, the relative addressing technique is employed to encode the searched closest codeword. According to the simulation results, it is shown that PSS not only provides better objective image quality peak SNR (PSNR) but also reduces the storage cost for storing multiple codebooks. Furthermore, PSS requires very little computational cost, compared to the full search algorithm for the vector quantization (VQ) scheme. Therefore, it is concluded that PSS indeed provides a good means for variable-rate image coding.
YuChen Hu, Chin-Chen Chang, "Predictive subcodebook search algorithm for vector quantization," Optical Engineering 39(6), (1 June 2000). http://dx.doi.org/10.1117/1.602521
JOURNAL ARTICLE
8 PAGES


SHARE
KEYWORDS
Image quality

Computer programming

Image compression

Quantization

Image processing

Surface conduction electron emitter displays

Image segmentation

Back to Top