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22 April 2020 Real-time holographic deconvolution for image differentiation
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Abstract
Real-time holography has been used in numerous analog computing applications; most important was in applications of real-time holography in four-wave-mixing for performing correlation and convolution. Correlation algorithms/devices are one of the important areas of pattern recognition. In controlling the beam ratio in four-wave-mixing for both correlation and convolution, it is possible to convert the matched filtering to inverse filtering correlation and convolution to deconvolution. We demonstrate that it is possible to optically differentiate images simply by deconvolving images with a step function’s Fourier Transforms. A perspective of image differentiation and its limitation, application with optical differential correlation, will be discussed in this paper.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jed Khoury "Real-time holographic deconvolution for image differentiation", Proc. SPIE 11400, Pattern Recognition and Tracking XXXI, 114000K (22 April 2020); https://doi.org/10.1117/12.2558514
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