25 October 1988 Address-Vector Quantization : An Adaptive Vector Quantization Scheme Using Interblock Correlation
Author Affiliations +
Proceedings Volume 1001, Visual Communications and Image Processing '88: Third in a Series; (1988) https://doi.org/10.1117/12.968955
Event: Visual Communications and Image Processing III, 1988, Cambridge, MA, United States
Abstract
Memoryless vector quantizers exploit the high correlation and the spatial redundancy between neighboring pixels, but they totally ignore the spatial redundancy between the blocks. In this paper a new vector quantization scheme called the Address-Vector Quantizer (A-VQ) is proposed. It is based on exploiting the inter-block correlation to encode a group of blocks together by using an address-codebook. The address-codebook consists of a set of address codevectors where each represents a combination of blocks, with each of its element being the address of a LBG-codebook entry representing a vector quantized block. The address-codebook consists of two regions, one is the active (addressable) region, and the other is the inactive (non-addressable) region. During the encoding process the codevectors in the address-codebook are reordered adaptively in order to bring the most probable address codevectors into the active region. When encoding an address combination the active region of the address-codebook is checked, if such an address combination exists its index is transmitted to the receiver, otherwise the address of each block is transmitted individually. The performance (SNR value) of the proposed A-VQ method is the same as that of a memoryless vector quantizer, but the bit rate would be reduced by a factor of two when compared with a memoryless vector quantizer.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yushu Feng, Yushu Feng, Nasser M. Nasrabadi, Nasser M. Nasrabadi, "Address-Vector Quantization : An Adaptive Vector Quantization Scheme Using Interblock Correlation", Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); doi: 10.1117/12.968955; https://doi.org/10.1117/12.968955
PROCEEDINGS
9 PAGES


SHARE
RELATED CONTENT

Variable Rate, Adaptive Transform Tree Coding Of Images
Proceedings of SPIE (October 24 1988)
VSAC: an algorithm for image sequence coding
Proceedings of SPIE (March 25 1993)
New variable-rate VQ coding scheme apply in HDTV
Proceedings of SPIE (August 31 1990)
A Framework For High-Compression Coding Of Color Images
Proceedings of SPIE (October 31 1989)
Laplacian pyramid coding of prediction error images
Proceedings of SPIE (October 31 1991)

Back to Top