JOURNAL ARTICLE

BTC Image Coding Using Vector Quantization

V. UdpikarJ.P. Raina

Year: 1987 Journal:   IEEE Transactions on Communications Vol: 35 (3)Pages: 352-356   Publisher: IEEE Communications Society

Abstract

This paper describes source encoding of the outputs of a block truncation coder (BTC), namely, the overhead statistical information and the truncated block. The statistical overhead and the truncated block exhibit properties which can be effectively used for their quantization as vectors. Vector quantization of these BTC outputs results into reduction of the bit rate of the coder. The bit rate reduces up to 1.5 bits/ pel if vector quantization is used on one of the outputs; i.e., either the overhead information or the truncated block. By vector quantizing both the BTC outputs the bit rate can he reduced up to 1.0 bits/pel without introducing many perceivable errors in the reconstructed output.

Keywords:
Vector quantization Computer science Quantization (signal processing) Coding (social sciences) Learning vector quantization Linde–Buzo–Gray algorithm Artificial intelligence Computer vision Algorithm Mathematics Statistics

Metrics

94
Cited By
1.86
FWCI (Field Weighted Citation Impact)
9
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

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
Digital Filter Design and Implementation
Physical Sciences →  Computer Science →  Signal Processing

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