Share Email Print
cover

Proceedings Paper

Further optimization of SeDDaRA blind image deconvolution algorithm and its DSP implementation
Author(s): Bo Wen; Qiheng Zhang; Jianlin Zhang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

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.

Paper Details

Date Published: 5 December 2011
PDF: 7 pages
Proc. SPIE 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing, 800502 (5 December 2011); doi: 10.1117/12.901617
Show Author Affiliations
Bo Wen, Institute of Optics and Electronics (China)
Graduate School of Chinese Academy of Sciences (China)
Qiheng Zhang, Institute of Optics and Electronics (China)
Jianlin Zhang, Institute of Optics and Electronics (China)


Published in SPIE Proceedings Vol. 8005:
MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top