Achieving the image interpolation algorithm on the FPGA platform based on ImpulseC

Ge Jia; Xianrong Peng

doi:10.1117/12.2031238

27 October 2013 Achieving the image interpolation algorithm on the FPGA platform based on ImpulseC

Ge Jia, Xianrong Peng

Proceedings Volume 8920, MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing; 89200E (2013) https://doi.org/10.1117/12.2031238
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

ImpulseC is based on the C language which can describe highly parallel and multi-process applications. It also generates a underlying hardware description for the dedicated process. To improve the famous bi-cubic interpolation algorithm, we design the bi-cubic convolution template algorithms with better computing performance and higher efficiency. The results of simulation show that the interpolation method not only improves the interpolation accuracy and image quality, but also preferably retains the texture of the image. Based on ImpulseC hardware design tools, we can make use of the compiler features to further parallelize the algorithm so that it is more conducive to the hardware implementation. Based on the Xilinx Spartan3 of XC3S4000 chip, our method achieves the real-time interpolation at the rate of 50fps. The FPGA experimental results show that the stream of output images after interpolation is robust and real-time. The summary shows that the allocation of hardware resources is reasonable. Compared with the existing hand-written HDL code, it has the advantages of parallel speedup. Our method provides a novel idea from C to FPGA-based embedded hardware system for software engineers.

Citation Download Citation

Ge Jia and Xianrong Peng "Achieving the image interpolation algorithm on the FPGA platform based on ImpulseC", Proc. SPIE 8920, MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing, 89200E (27 October 2013); https://doi.org/10.1117/12.2031238

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KEYWORDS

Field programmable gate arrays

Image processing

Signal processing

Convolution

Image interpolation

Image quality

Data modeling

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