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This paper presents a simulation model for a large field‐of‐view, wide eye‐box, and high‐resolution ultra‐thin near‐eye display based on a freeform optical lens array. It creatively incorporates a polarization‐based optical folding technique (pancake lens), reducing the thickness of the simulation model to less than 1.4 cm (excluding the display screen). Compared to traditional VR devices, this significantly reduces the volume and weight of the equipment. The parameters of the simulation model are as follows: eye‐box size of 10mm, resolution utilization rate of 50%; the introduction of freeform optics greatly improves the imaging quality of the displayed images. At the same time, the field of view reaches 116° (single eye, vertical direction). [ABSTRACT FROM AUTHOR]

We demonstrate an ultracompact virtual reality (VR) system with thickness of about 1‐cm. In this system, the imaging optics consists of a lenslet array, a deflector array, and a Pancharatnam‐Berry deflector (PBD). We have experimentally demonstrated a polarization interpolation configuration to reduce the system thickness by nearly 50%. [ABSTRACT FROM AUTHOR]

Summary The tandem scanning microscope permits confocal images to be obtained in real time and viewed directly by eye. The light budget of these instruments may be increased from a few percent to a few tens of percent by incorporating an array of microlenses so as to increase the amount of illumination light that reaches the specimen. These instruments are configured for fluorescence imaging together with laser illumination. We describe how the versatility of the instrument may be enhanced to permit the use of incoherent light sources as well as extending the imaging modes to include bright-field reflection. [ABSTRACT FROM AUTHOR]

The realization of a second-order neural network using a lenslet array is proposed. A method of generalization of matrix from a vector is considered such that the second-order neural network with a vector input can be considered as a first-order neural network with two-dimensional matrix input. Retrieval performances of both first-order and second-order neural networks as content-addressable memories are verified with computer simulations. © 1998 John Wiley & Sons, Inc. Microwave Opt Technol Lett 19: 451–455, 1998. [ABSTRACT FROM AUTHOR]

Currently, a raw light field image can be captured by a light field camera and decomposed into multi‐views with different perceptual quality. A novel light field compression approach for a light field image is proposed based on this observation, where the raw light field image is decomposed into multi‐views as pseudo‐sequencing frames and reordered according to their perceptual quality. The resulting pseudo‐temporal sequence is then compressed by high‐efficiency video coding (HEVC) encoder. Experimental results show that the proposed method can achieve a better coding performance (up to 28% Bjontegaard delta bit rate reduction (BDBR) savings) compared with state‐of‐the‐art reordering techniques using HEVC. [ABSTRACT FROM AUTHOR]