Journal Article
Defect corrections for coherent optical information processing of grayscale images in a DMD-based 4f-system using a collimated light source
22HS5200, Research on Optical Learning Technology for AI,
Shin Hyung Cheol
Abstract
Digital micromirror device (DMD)-based 4f-systems, a type of coherent optical information processing system, have become a powerful tool for optical convolutional neural networks taking advantage of their fast modulation speed and high-resolution capability. However, proper high bit-depth image information processing remains challenging due to the optical diffractions that arise from the binary nature of DMD operation. In this paper, we first characterize the diffraction phenomena that cause irradiance defects, namely the nonlinear grayscale and unintended dark lines. Then to resolve the issues, we propose a DMD operation method and a modified structure of the 4f-system based on blazed diffraction grating theory and numerical calculation of the Rayleigh?밪ommerfeld propagation model. As a demonstration, we implement high bit-depth image information processing with an optimized optical 4f-system using DMDs and a collimated coherent light source.
KSP Keywords
Bit depth, Coherent optical information processing, Convolution neural network(CNN), Depth image, Diffraction grating, Digital micro-mirror devices(DMD), Grayscale Images, High-resolution, Image information, Information processing system, Light sources
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