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FPGA-accelerated adaptive cartesian to polar conversion and efficient MI computation for image registration

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Abstract

In this paper, a high speed cartesian to polar conversion of an image and efficient Mutual Information (MI) computation methods have been proposed for high-speed multi-modal image registration. Further, a complete hardware-based system for computation of existing transformation parameters between two images has been developed. The proposed method speed up MI computation and cartesian to polar conversion of an image by detecting and discarding redundant computation. The proposed system is mapped in Field Programmable Gate Array (FPGA).

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  1. Institute of Radio Physics and Electronics, Calcutta University, Kolkata, West Bengal, 700009, India

    Pulak Mondal

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  1. Pulak Mondal
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Mondal, P. FPGA-accelerated adaptive cartesian to polar conversion and efficient MI computation for image registration. J Real-Time Image Proc 19, 529–537 (2022). https://doi.org/10.1007/s11554-022-01205-3

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  • DOI: https://doi.org/10.1007/s11554-022-01205-3

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