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Proceedings Paper

Image compression using hybrid vector quantization with DCT
Author(s): A. Amaar; E. M. Saad; I. Ashour; M. Elzorkany
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Paper Abstract

As a result of bandwidth and storage limitations, image compression techniques are widely used in data transmission and data storage. In a congested network like the Internet or low bandwidth communication for wireless transmission, image compression at a low bit rate is necessary. In this paper, a very low bit rate image compression scheme is proposed. This scheme is a hybrid method that combines the high compression ratio of Vector Quantization (VQ) with the good energy-compaction property of Discrete Cosine Transform (DCT). In order to increase the compression ratio while preserving decent reconstructed image quality, Image is compressed using vector quantization (VQ), while DCT was used the code books block. Simulation results show the effectiveness of the proposed method.

Paper Details

Date Published: 30 September 2011
PDF: 7 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828523 (30 September 2011); doi: 10.1117/12.913483
Show Author Affiliations
A. Amaar, National Telecommunication Institute (Egypt)
E. M. Saad, National Telecommunication Institute (Egypt)
I. Ashour, National Telecommunication Institute (Egypt)
M. Elzorkany, National Telecommunication Institute (Egypt)

Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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