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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1463

Title: Low complexity image compression algorithm for wireless channel
Authors: Awad Khuzaim, AI-Asmari
Keywords: Wireless image communication
Issue Date: 2001
Publisher: King Saud University
Citation: Journal of King Saud University, Engineering Sciences: 13(1); 85-101
Abstract: Pyramid coding with absolute moment block truncation coding (PC-AMBTC) technique is proposed for wireless image communication. The digital European cordless telecommunications (DECT) system is used as wireless communication environment. The impact of Channel fading on the PC-AMBTC technique is investigated and its performance is compared with other algorithms. The image is decomposed into two images (decimated image and the difference image). The AMBTC is used for the decimated image and a modified geometric vector quantization (MGVQ) is used for the difference image. Since most of the signal power and information is located in the Iow frequency band of the image, special attention is given to this band to protect its information from Channel fading errors. Simulation results show that the proposed technique is very robust to Channel fading erTors. It is found that the performance of PC-AMBTC algorithm is better than the existing algorithms at the same bit rate.
URI: http://hdl.handle.net/123456789/1463
Appears in Collections:Journal of the King Saud University - Engineering Sciences

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