Parameterizing reconfigurable designs for image warping

Jun Jiang; Stefan Schmidt; Wayne W.C. Luk; Daniel Rueckert

doi:10.1117/12.455482

2 July 2002 Parameterizing reconfigurable designs for image warping

Jun Jiang, Stefan Schmidt, Wayne W.C. Luk, Daniel Rueckert

Proceedings Volume 4867, Reconfigurable Technology: FPGAs and Reconfigurable Processors for Computing and Communications IV; (2002) https://doi.org/10.1117/12.455482
Event: ITCom 2002: The Convergence of Information Technologies and Communications, 2002, Boston, MA, United States

Abstract

This paper describes reconfigurable computing techniques for optimising image warping designs.Our image warping algorithm is based on radial basis functions, which enable the warping effect to be specified in terms of feature points. The coefficients of the warping function are obtained from the Symmetric Bipartite Table Method (SBTM), and the lookup tables can be generated dynamically at run time. We have deployed an optimised number representation involving both custom integer and custom floating-point formats in computing the radial function approximation. Furthermore, a fully-pipelined design has been developed in the Handel-C language, which can perform image warping in real time for resolutions up to 256 by 256 pixels on a Xilinx XC2V6000 device. This design is parameterisable at compile time for different image resolutions. Currently our implementation on a Xilinx Virtex XCV1000 device for the RC1000-PP platform achieves 50% faster than a software version on an AMD Athlon 1.4 GHz PC. A faster data bus and a larger FPGA for the RC1000-PP platform can result in a further speed improvement of over ten times.

Citation Download Citation

Jun Jiang, Stefan Schmidt, Wayne W.C. Luk, and Daniel Rueckert "Parameterizing reconfigurable designs for image warping", Proc. SPIE 4867, Reconfigurable Technology: FPGAs and Reconfigurable Processors for Computing and Communications IV, (2 July 2002); https://doi.org/10.1117/12.455482

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