Side-Match Finite-State Vector Quantization with Adaptive Block Classification for Image Compression
Summary :
In this article, an efficient vector quantization (VQ) scheme called side-match finite-state vector quantization with adaptive block classification is presented for image compression. It makes use of edge information contained in image in additional to the average values of blocks forming the image. In order to achieve low bit rate coding while preserving good quality images, neighboring blocks are utilized to predict the class of current block. Image blocks are mainly classified as edge blocks and non-edge blocks in this coding scheme. To improve the coding efficiency, edge blocks and non-edge blocks are further reclassified into different classes, respectively. Moreover, the number of bits for encoding an image is greatly reduced by foretelling the class of input block and applying small state codebook in corresponding class. The improvement of the proposed coding scheme is attractive as compared with other VQ techniques.
- Publication
- IEICE TRANSACTIONS on Information Vol.E83-D No.8 pp.1671-1678
- Publication Date
- 2000/08/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Image Processing, Image Pattern Recognition
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Shinfeng D. LIN, Shih-Chieh SHIE, "Side-Match Finite-State Vector Quantization with Adaptive Block Classification for Image Compression" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 8, pp. 1671-1678, August 2000, doi: .
Abstract: In this article, an efficient vector quantization (VQ) scheme called side-match finite-state vector quantization with adaptive block classification is presented for image compression. It makes use of edge information contained in image in additional to the average values of blocks forming the image. In order to achieve low bit rate coding while preserving good quality images, neighboring blocks are utilized to predict the class of current block. Image blocks are mainly classified as edge blocks and non-edge blocks in this coding scheme. To improve the coding efficiency, edge blocks and non-edge blocks are further reclassified into different classes, respectively. Moreover, the number of bits for encoding an image is greatly reduced by foretelling the class of input block and applying small state codebook in corresponding class. The improvement of the proposed coding scheme is attractive as compared with other VQ techniques.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_8_1671/_p
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@ARTICLE{e83-d_8_1671,
author={Shinfeng D. LIN, Shih-Chieh SHIE, },
journal={IEICE TRANSACTIONS on Information},
title={Side-Match Finite-State Vector Quantization with Adaptive Block Classification for Image Compression},
year={2000},
volume={E83-D},
number={8},
pages={1671-1678},
abstract={In this article, an efficient vector quantization (VQ) scheme called side-match finite-state vector quantization with adaptive block classification is presented for image compression. It makes use of edge information contained in image in additional to the average values of blocks forming the image. In order to achieve low bit rate coding while preserving good quality images, neighboring blocks are utilized to predict the class of current block. Image blocks are mainly classified as edge blocks and non-edge blocks in this coding scheme. To improve the coding efficiency, edge blocks and non-edge blocks are further reclassified into different classes, respectively. Moreover, the number of bits for encoding an image is greatly reduced by foretelling the class of input block and applying small state codebook in corresponding class. The improvement of the proposed coding scheme is attractive as compared with other VQ techniques.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Side-Match Finite-State Vector Quantization with Adaptive Block Classification for Image Compression
T2 - IEICE TRANSACTIONS on Information
SP - 1671
EP - 1678
AU - Shinfeng D. LIN
AU - Shih-Chieh SHIE
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2000
AB - In this article, an efficient vector quantization (VQ) scheme called side-match finite-state vector quantization with adaptive block classification is presented for image compression. It makes use of edge information contained in image in additional to the average values of blocks forming the image. In order to achieve low bit rate coding while preserving good quality images, neighboring blocks are utilized to predict the class of current block. Image blocks are mainly classified as edge blocks and non-edge blocks in this coding scheme. To improve the coding efficiency, edge blocks and non-edge blocks are further reclassified into different classes, respectively. Moreover, the number of bits for encoding an image is greatly reduced by foretelling the class of input block and applying small state codebook in corresponding class. The improvement of the proposed coding scheme is attractive as compared with other VQ techniques.
ER -
English
