In a method and apparatus for performing an analysis and other activities using one or more two- or three-dimensional representational images, presenting a two- or three-dimensional representational image containing analytical information to assist in the analytical process. One or more two- or three-dimensional representational images are created, e.g., using standard photography, holography or computer imaging, and are placed in a positioner for use by the analyst. The representational images are illuminated using a light source and the analyst utilizes the information released from the representational image to perform an analysis.

The goal of computer generated holography (CGH) is to synthesize custom illumination patterns by shaping the wavefront of a coherent light beam. Existing algorithms for CGH rely on iterative optimization with a fundamental trade-off between hologram fidelity and computation speed, making them inadequate for high-speed holography applications such as optogenetic photostimulation, optical trapping, or virtual reality displays. We propose a new algorithm, DeepCGH, that relies on a convolutional neural network to eliminate iterative exploration and rapidly synthesize high resolution holograms with fixed computational complexity. DeepCGH is an unsupervised model which can be tailored for specific tasks with customizable training data sets and an explicit cost function. Results show that our method computes 3D holograms at record speeds and with better accuracy than existing techniques.

A method of generating a color image of a sample includes obtaining a plurality of low resolution holographic images of the sample using a color image sensor, the sample illuminated simultaneously by light from three or more distinct colors, wherein the illuminated sample casts sample holograms on the image sensor and wherein the plurality of low resolution holographic images are obtained by relative x, y, and z directional shifts between sample holograms and the image sensor. Pixel super-resolved holograms of the sample are generated at each of the three or more distinct colors. De-multiplexed holograms are generated from the pixel super-resolved holograms. Phase information is retrieved from the de-multiplexed holograms using a phase retrieval algorithm to obtain complex holograms. The complex hologram for the three or more distinct colors is digitally combined and back-propagated to a sample plane to generate the color image.

A content display apparatus includes the following elements. An image acquiring unit acquires images. A memory stores content to be superimposed on an image of a sheet medium among the acquired images. A content display unit displays the content so as to be superimposed on the image of the sheet medium, in accordance with the image of the sheet medium. An input member has a shape of a writing tool, is held by a user for use, and includes a light-emitting portion at a tip thereof. A light determining unit determines a position illuminated with light emitted from the light-emitting portion, based on the images acquired by the image acquiring unit. A storing unit stores, based on a path of the light determined while the input member is in contact with the sheet medium, the path in association with the content.

A fingerprint sensor integrated display using a holographic optical element and a recording and reconstruction method of the holographic optical element are disclosed. The fingerprint sensor integrated display includes a display panel on which an input image is displayed, a transparent substrate disposed on the display panel, and a light entering element configured to irradiate light from a light source onto the transparent substrate. A particular type of visual information is reconstructed through a holographic element at a location of the light entering element.

Disclosed herein are devices and methods for modifying a conventional imager to have functional features similar to that of a lock-in camera. Optical mask devices are configured to be coupled to conventional imager sensors and the configuration of the mask devices can be adjusted to acquire image data in rapid succession. One variation of an optical mask device comprises a substrate comprising a pattern of light-blocking and light-transmitting regions and an attachment structure for coupling the optical mask device to the imager. The substrate is configured to adjust the position of the light-blocking regions and light-transmitting regions relative to the light-sensing region of the imager based on a set of one or more predetermined substrate configurations. In some variations, the mask device and/or the imager sensor may be mechanically moved relative to each other based on the set of one or more predetermined substrate configurations.

Disclosed herein are devices and methods for modifying a conventional imager to have functional features similar to that of a lock-in camera. Optical mask devices are configured to be coupled to conventional imager sensors and the configuration of the mask devices can be adjusted to acquire image data in rapid succession. One variation of an optical mask device comprises a substrate comprising a pattern of light-blocking and light-transmitting regions and an attachment structure for coupling the optical mask device to the imager. The substrate is configured to adjust the position of the light-blocking regions and light-transmitting regions relative to the light-sensing region of the imager based on a set of one or more predetermined substrate configurations. In some variations, the mask device and/or the imager sensor may be mechanically moved relative to each other based on the set of one or more predetermined substrate configurations.

A clothes positioning device includes a storage unit, a matching unit, a display unit and a positioning unit. The storage unit stores a clothes parameter and a placement position of clothes placed inside a body for placing the clothes, and figure data of a predetermined wearer; the matching unit is connected to the storage unit and determines, according to the figure data of a current wearer acquired from the storage unit and the clothes parameter stored in the storage unit, clothes matching the figure data of current wearer among the clothes in the body as recommended clothes; the positioning unit is connected to the storage unit and determines a position of the clothes selected by the wearer; the display unit is connected to the matching unit, and synthesizes dressing effect image according to clothes parameter of recommended clothes and the figure data of current wearer and displays dressing effect image.

A biometrics authentication apparatus and a biometrics authentication method are disclosed. The biometrics authentication apparatus includes: a light source configured to emit a light; a modulator configured to change a spatial distribution of the light that is scattered and reflected from a region of interest of a user; a detector configured to detect an integral power of the light that is scattered from the region of interest; and a processor configured to obtain a measurement signal based on the integral power of the light, compare the measurement signal with a reference signal stored in a memory, and determine whether to authenticate the user based on a degree of match between the measurement signal and the reference signal.

An image processing apparatus configured to perform a two-dimensional (2D) fast Fourier transform (FFT) with respect to image data includes a first core and a second core, each of the first core and the second core including a plurality of processors configured to perform a one-dimensional (1D) FFT; and a controller configured to control the first core and the second core to perform a primary two-dimensional (2D) FFT and a secondary 2D FFT with respect to the image data by repeatedly performing the 1D FFT.