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SolarAccel: FPGA accelerated 2D cross-correlation of digital images: Application to solar adaptive optics

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dc.contributor.author Das, Soham
dc.contributor.author Rao, Nanditha
dc.contributor.author Phanindra, D. V. S
dc.contributor.author Sridharan, R
dc.date.accessioned 2024-06-21T08:18:09Z
dc.date.available 2024-06-21T08:18:09Z
dc.date.issued 2024-06
dc.identifier.citation Journal of Astrophysics and Astronomy, Vol. 45, No. 1, 16 en_US
dc.identifier.issn 0973-7758
dc.identifier.uri http://hdl.handle.net/2248/8488
dc.description Restricted Access en_US
dc.description The original publication is available at springerlink.com
dc.description.abstract The cross-correlation of two-dimensional digital images is fundamental to solar adaptive optics computations. It can be used in a simple tip-tilt correction system to identify the relative shift between consecutive images and correlating sub-aperture images of a Shack–Hartmann wave-front sensor. The typical frequency of computation is about 1 kHz. While the software-based optimized cross-correlations may be sufficient when a small number of sub-apertures are used in a wave-front sensor, hardware-accelerated (FPGA), correlations may be required when a large number of sub-aperture images are involved, e.g., in the case of the proposed National Large Solar Telescope in India. This paper presents SolarAccel: An FPGA-based acceleration of a basic two-dimensional cross-correlation of two images. We accelerate the FPGA-based design by pipelining the individual components of the cross-correlation process. We implemented our RTL logic on a few sets of 128 × 128 pixel images and 32 × 32 pixel images on a Xilinx Zynq Ultrascale+ MPSoC on the ZCU104 FPGA evaluation platform. SolarAccel performs a 2D FFT on a 128 × 128 image faster than existing work. The cross-correlation on a 32 × 32 image is also faster than the existing work. This demonstrates that FPGA acceleration is beneficial in solar adaptive optics applications. en_US
dc.language.iso en en_US
dc.publisher Indian Academy of Sciences en_US
dc.relation.uri https://doi.org/10.1007/s12036-024-10003-1
dc.rights © Indian Academy of Sciences
dc.subject Solar adaptive optics en_US
dc.subject Cross-correlation en_US
dc.subject FPGA acceleration en_US
dc.title SolarAccel: FPGA accelerated 2D cross-correlation of digital images: Application to solar adaptive optics en_US
dc.type Article en_US


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