Paper Title:
Embedded Image Compression Algorithm and FPGA Implementation Based on BP Neural Networks
| Periodical | Applied Mechanics and Materials (Volume 65) |
|---|---|
| Main Theme | Mechatronic Systems and Automation Systems |
| Edited by | Zhenyu Du and Bin Liu |
| Pages | 415-418 |
| DOI | 10.4028/www.scientific.net/AMM.65.415 |
| Citation | Guang Ming Li et al., 2011, Applied Mechanics and Materials, 65, 415 |
| Online since | June, 2011 |
| Authors | Guang Ming Li, Zhen Qi He |
| Keywords | BP Neural Network (BPNN), Image Compression, Verilog Language |
| Price | US$ 28,- |
View full size
Abstract
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.
