Embedded Image Compression Algorithm and FPGA Implementation Based on BP Neural Networks
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.
Zhenyu Du and Bin Liu
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