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Proceedings Paper

Real-time blind image deconvolution based on coordinated framework of FPGA and DSP
Author(s): Ze Wang; Hang Li; Hua Zhou; Hongjun Liu
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Paper Abstract

Image restoration takes a crucial place in several important application domains. With the increasing of computation requirement as the algorithms become much more complexity, there has been a significant rise in the need for accelerating implementation. In this paper, we focus on an efficient real-time image processing system for blind iterative deconvolution method by means of the Richardson-Lucy (R-L) algorithm. We study the characteristics of algorithm, and an image restoration processing system based on the coordinated framework of FPGA and DSP (CoFD) is presented. Single precision floating-point processing units with small-scale cascade and special FFT/IFFT processing modules are adopted to guarantee the accuracy of the processing. Finally, Comparing experiments are done. The system could process a blurred image of 128×128 pixels within 32 milliseconds, and is up to three or four times faster than the traditional multi-DSPs systems.

Paper Details

Date Published: 8 October 2015
PDF: 6 pages
Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96750Y (8 October 2015); doi: 10.1117/12.2199195
Show Author Affiliations
Ze Wang, China Academy of Launch Vehicle Technology (China)
Hang Li, China Academy of Launch Vehicle Technology (China)
Hua Zhou, China Academy of Launch Vehicle Technology (China)
Hongjun Liu, China Academy of Launch Vehicle Technology (China)


Published in SPIE Proceedings Vol. 9675:
AOPC 2015: Image Processing and Analysis
Chunhua Shen; Weiping Yang; Honghai Liu, Editor(s)

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