Image projection systems are widely used in modern applications. To enlarge the field of view (FOV), especially for curved-surface projection, multiple projectors are used to display different images, and the images are spliced with increasing system volume. For a single projector, chromatic aberration caused by the edge of the complex optical system is unavoidable during the enlargement of view angle. We propose and designed a projection system using a metallic nanorod antenna array metasurface with polarization control to enlarge the FOV with a slim structure and realize achromatic multicolor display on curved surfaces. With far-field computational simulations, three output images were stitched into a picture on a hemispherical surface, and the field diffraction angle was found to be three times as large as direct projection, approaching 270 deg theoretically. With the derived formula, the achromatic effect can be realized by optimizing incident angle parameters at different wavelengths, with an angular dispersion of <6.6 × 10 − 5 deg / nm, which is sufficient for multicolor display. The system greatly reduces the complexity of optical design with multicolor display and shows potential for the miniaturization of curved-surface projection with the metasurface.
Computer-generated hologram (CGH) is a key technology in electro-holography systems. However, the huge computational complexity is a challenge for practical demands. In this paper, we propose an improved algorithm to accelerate CGH computation based on symmetric compressed LUT (SC-LUT) algorithm. In LUT calculation, the horizontal and vertical modulation factors is reduced to one-dimension arrays instead of dual one-dimension arrays. In hologram calculation, we introduce a one-time generation of color holograms method which is accelerated by matrix convolution operation. Numerical simulation results also show at least 13 times faster than existing algorithms without sacrificing the computation precision. The proposed algorithm accelerated by the graphic processing unit (GPU) is an effective method for fast calculation of CGH in color holographic display.
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