Further optimization of SeDDaRA blind image deconvolution algorithm and its DSP implementation
Efficient algorithm for blind image deconvolution and its high-speed implementation is of great value in practice. Further optimization of SeDDaRA is developed, from algorithm structure to numerical calculation methods. The main optimization covers that, the structure’s modularization for good implementation feasibility, reducing the data computation and dependency of 2D-FFT/IFFT, and acceleration of power operation by segmented look-up table. Then the Fast SeDDaRA is proposed and specialized for low complexity. As the final implementation, a hardware system of image restoration is conducted by using the multi-DSP parallel processing. Experimental results show that, the processing time and memory demand of Fast SeDDaRA decreases 50％ at least; the data throughput of image restoration system is over 7.8Msps. The optimization is proved efficient and feasible, and the Fast SeDDaRA is able to support the real-time application.
blind image restoration 2D-FFT/IFFT look-up table parallel processing real-time
Bo Wen Qiheng Zhang Jianlin Zhang
Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, China 610209 Graduate Sch Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, China 610209
国际会议
桂林
英文
1-7
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）