Real-time blind image deconvolution based on coordinated framework of FPGA and DSP

Ze Wang; Hang Li; Hua Zhou; Hongjun Liu

doi:10.1117/12.2199195

8 October 2015 Real-time blind image deconvolution based on coordinated framework of FPGA and DSP

Ze Wang, Hang Li, Hua Zhou, Hongjun Liu

Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 96750Y (2015) https://doi.org/10.1117/12.2199195
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China

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.

Citation Download Citation

Ze Wang, Hang Li, Hua Zhou, and Hongjun Liu "Real-time blind image deconvolution based on coordinated framework of FPGA and DSP", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96750Y (8 October 2015); https://doi.org/10.1117/12.2199195

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