Embedded Image Compression Algorithm and FPGA Implementation Based on BP Neural Networks

Abstract:

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At present, because more embedded image compressions are single, various compression methods have not transplant to embedded equipment. In this paper, A BP neural network based image compression methods have been proposed. The neural network is trained more and more, and obtained a set of weights and thresholds usefully. Then, use the FPGA to achieve, In the FPGA, using the framework of soft-core Nios Ⅱ way. Ultimately, compression program written using Verilog and burned into the FPGA. Experiments show that the system has the advantages of high compression ratio, small size, and can stable operation.

Info:

Periodical:

Edited by:

Zhenyu Du and Bin Liu

Pages:

415-418

DOI:

10.4028/www.scientific.net/AMM.65.415

Citation:

G. M. Li and Z. Q. He, "Embedded Image Compression Algorithm and FPGA Implementation Based on BP Neural Networks", Applied Mechanics and Materials, Vol. 65, pp. 415-418, 2011

Online since:

June 2011

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Price:

$35.00

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