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Updated: Jun 12, 2026

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects
Published on: February 8, 2014
Hologram computation based on sparse matrix multiplication
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Holographic displays are highly anticipated as a three-dimensional (3D) display technology that satisfies the essential requirements of human visual perception. However, the generation of computer-generated holograms (CGHs) is hindered by the significant challenges of high computational complexity and long processing times. In this study, we propose a method to reformulate the point-cloud method into a matrix multiplication framework. By representing the redundancy of object coordinates in the separable convolution method and the computational domain constraints of the wavefront recording plane method as sparse matrices, we eliminate redundant calculations and achieve efficient hologram generation. In addition, we further accelerate matrix-based hologram calculations by leveraging the matrix computation capabilities of modern graphics processing units.
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