Image coding with finite state vector quantization utilizing extrapolation selection

C. Manikopoulos, H. Sun, George Antoniou

Research output: Contribution to conferencePaperResearchpeer-review

3 Citations (Scopus)

Abstract

A novel extrapolation selection finite state vector quantizer (ESFSVQ) has been devised. The state codebook selection algorithm is based on linear extrapolation predictions from the immediate upper and left neighboring blocks of each incoming source vector. It may be characterized as a vector quantizer with memory. The main accomplishment of ESFSVQ is to assure access to a large master codebook for quantizing purposes, and thus achieve high image quality, while utilizing the low bit rate of a small state codebook, for the purpose of specifying the block label. A master codebook of 4 × 4 blocks of size 256, 512 or 1024, state codebook sizes of 32, 64, or 128 vectors, was employed in implementing ESFSVQ. The results have shown that high image quality can be achieved, upon image reconstruction, at coding bit rates of 0.30-0.45 b/pixel.

Original languageEnglish
Pages575-579
Number of pages5
StatePublished - 1 Dec 1989
EventIEEE Global Telecommunications Conference & Exhibition (GLOBECOM '89). Part 1 (of 3) - Dallas, TX, USA
Duration: 27 Nov 198930 Nov 1989

Other

OtherIEEE Global Telecommunications Conference & Exhibition (GLOBECOM '89). Part 1 (of 3)
CityDallas, TX, USA
Period27/11/8930/11/89

Fingerprint

Vector quantization
Image coding
Extrapolation
Image quality
Image reconstruction
Labels
Pixels
Data storage equipment

Cite this

Manikopoulos, C., Sun, H., & Antoniou, G. (1989). Image coding with finite state vector quantization utilizing extrapolation selection. 575-579. Paper presented at IEEE Global Telecommunications Conference & Exhibition (GLOBECOM '89). Part 1 (of 3), Dallas, TX, USA, .
Manikopoulos, C. ; Sun, H. ; Antoniou, George. / Image coding with finite state vector quantization utilizing extrapolation selection. Paper presented at IEEE Global Telecommunications Conference & Exhibition (GLOBECOM '89). Part 1 (of 3), Dallas, TX, USA, .5 p.
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abstract = "A novel extrapolation selection finite state vector quantizer (ESFSVQ) has been devised. The state codebook selection algorithm is based on linear extrapolation predictions from the immediate upper and left neighboring blocks of each incoming source vector. It may be characterized as a vector quantizer with memory. The main accomplishment of ESFSVQ is to assure access to a large master codebook for quantizing purposes, and thus achieve high image quality, while utilizing the low bit rate of a small state codebook, for the purpose of specifying the block label. A master codebook of 4 × 4 blocks of size 256, 512 or 1024, state codebook sizes of 32, 64, or 128 vectors, was employed in implementing ESFSVQ. The results have shown that high image quality can be achieved, upon image reconstruction, at coding bit rates of 0.30-0.45 b/pixel.",
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Manikopoulos, C, Sun, H & Antoniou, G 1989, 'Image coding with finite state vector quantization utilizing extrapolation selection' Paper presented at IEEE Global Telecommunications Conference & Exhibition (GLOBECOM '89). Part 1 (of 3), Dallas, TX, USA, 27/11/89 - 30/11/89, pp. 575-579.

Image coding with finite state vector quantization utilizing extrapolation selection. / Manikopoulos, C.; Sun, H.; Antoniou, George.

1989. 575-579 Paper presented at IEEE Global Telecommunications Conference & Exhibition (GLOBECOM '89). Part 1 (of 3), Dallas, TX, USA, .

Research output: Contribution to conferencePaperResearchpeer-review

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N2 - A novel extrapolation selection finite state vector quantizer (ESFSVQ) has been devised. The state codebook selection algorithm is based on linear extrapolation predictions from the immediate upper and left neighboring blocks of each incoming source vector. It may be characterized as a vector quantizer with memory. The main accomplishment of ESFSVQ is to assure access to a large master codebook for quantizing purposes, and thus achieve high image quality, while utilizing the low bit rate of a small state codebook, for the purpose of specifying the block label. A master codebook of 4 × 4 blocks of size 256, 512 or 1024, state codebook sizes of 32, 64, or 128 vectors, was employed in implementing ESFSVQ. The results have shown that high image quality can be achieved, upon image reconstruction, at coding bit rates of 0.30-0.45 b/pixel.

AB - A novel extrapolation selection finite state vector quantizer (ESFSVQ) has been devised. The state codebook selection algorithm is based on linear extrapolation predictions from the immediate upper and left neighboring blocks of each incoming source vector. It may be characterized as a vector quantizer with memory. The main accomplishment of ESFSVQ is to assure access to a large master codebook for quantizing purposes, and thus achieve high image quality, while utilizing the low bit rate of a small state codebook, for the purpose of specifying the block label. A master codebook of 4 × 4 blocks of size 256, 512 or 1024, state codebook sizes of 32, 64, or 128 vectors, was employed in implementing ESFSVQ. The results have shown that high image quality can be achieved, upon image reconstruction, at coding bit rates of 0.30-0.45 b/pixel.

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Manikopoulos C, Sun H, Antoniou G. Image coding with finite state vector quantization utilizing extrapolation selection. 1989. Paper presented at IEEE Global Telecommunications Conference & Exhibition (GLOBECOM '89). Part 1 (of 3), Dallas, TX, USA, .