JOURNAL ARTICLE

Image coding with finite state vector quantization utilizing extrapolation selection

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.< >

Keywords:
Codebook Linde–Buzo–Gray algorithm Extrapolation Vector quantization Algorithm Coding (social sciences) Computer science Quantization (signal processing) Selection (genetic algorithm) Pixel Artificial intelligence Image compression Theoretical computer science Mathematics Image (mathematics) Image processing Statistics

Metrics

3
Cited By
0.00
FWCI (Field Weighted Citation Impact)
13
Refs
0.17
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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