H04N23/95

Imaging Method for Non-Line-of-Sight Object and Electronic Device
20220417447 · 2022-12-29 ·

Certain embodiments provide an imaging method for a non-line-of-sight object and an electronic device. In certain embodiments, the method includes: detecting a first input operation; and generating first image data in response to the first input operation. The first image data is imaging data of the non-line-of-sight object obtained by fusing second image data and third image data. The first image data includes position information between the non-line-of-sight object and a line-of-sight object. The second image data is imaging data of the line-of-sight object captured by the optical camera. The third image data is imaging data of the non-line-of-sight object captured by the electromagnetic sensor.

PHOTOELECTRIC CONVERSION DEVICE, IMAGING DEVICE, CONTROL METHOD, AND STORAGE MEDIUM
20230095243 · 2023-03-30 ·

A photoelectric conversion device including a pixel equipped with a photoelectric conversion circuit configured to output a signal in response to incidence of a photon includes a first measurement circuit, a second measurement circuit, a selection circuit, and a selection circuit. The first measurement circuit is configured to measure the signal output from the pixel. The second measurement circuit is configured to measure time from when the first measurement circuit starts measuring the signal until a measured value measured by the first measurement circuit reaches a first threshold value. The selection circuit is configured to switch a first measurement circuit to be connected to the second measurement circuit among a plurality of first measurement circuit. The control circuit is configured to control timing of switching a connection of the second measurement circuit by the selection circuit.

PHOTOELECTRIC CONVERSION DEVICE, IMAGING DEVICE, CONTROL METHOD, AND STORAGE MEDIUM
20230095243 · 2023-03-30 ·

A photoelectric conversion device including a pixel equipped with a photoelectric conversion circuit configured to output a signal in response to incidence of a photon includes a first measurement circuit, a second measurement circuit, a selection circuit, and a selection circuit. The first measurement circuit is configured to measure the signal output from the pixel. The second measurement circuit is configured to measure time from when the first measurement circuit starts measuring the signal until a measured value measured by the first measurement circuit reaches a first threshold value. The selection circuit is configured to switch a first measurement circuit to be connected to the second measurement circuit among a plurality of first measurement circuit. The control circuit is configured to control timing of switching a connection of the second measurement circuit by the selection circuit.

Imaging system and method of creating composite images

An imaging system and a method of creating composite images are provided. The imaging system includes one or more lens assemblies coupled to a sensor. When reflected light from an object enters the imaging system, incident light on the metalens filter systems creates filtered light, which is turned into composite images by the corresponding sensors. Each metalens filter system focuses the light into a specific wavelength, creating the metalens images. The metalens images are sent to the processor, wherein the processor combines the metalens images into one or more composite images. The metalens images are combined into a composite image, and the composite image has reduced chromatic aberrations.

Optical Element for Deconvolution
20230119549 · 2023-04-20 ·

In one embodiment, a method of constructing a corrective phase mask for an optical element, includes propagating, for each of one or more wavelengths, a point source field from an object plane to a corrective mask plane to determine a source field and propagating, for each of the one or more wavelengths, the point source field from an image plane to the corrective mask plane to determine an image field. The method may further include determining, for each of the one or more wavelengths, a phase modulation field based on the source field and the image field; and determining a multi-wavelength phase modulation field based on combining the phase modulation field for each of the one or more wavelengths.

Dynamic radiometric thermal imaging compensation

Systems and methods for dynamic radiometric thermal imaging compensation. The method includes analyzing a visible light image to determine an emissivity value for each of a plurality of visible light pixels making up the visible light image. The method includes associating each of the plurality of thermal pixels making up a thermal image corresponding to the visible light image with at least one of the plurality of visible light pixels making up the visible light image. The method includes generating a second thermal image by, for each of the plurality of thermal pixels making up the thermal image, determining a temperature value based on the thermal pixel value of the thermal pixel and the emissivity value of the at least one of the plurality of visible light pixels associated with the thermal pixel.

Systems and methods for diffraction line imaging

A novel class of imaging systems that combines diffractive optics with 1D line sensing is disclosed. When light passes through a diffraction grating or prism, it disperses as a function of wavelength. This property is exploited to recover 2D and 3D positions from line images. A detailed image formation model and a learning-based algorithm for 2D position estimation are disclosed. The disclosure includes several extensions of the imaging system to improve the accuracy of the 2D position estimates and to expand the effective field-of-view. The invention is useful for fast passive imaging of sparse light sources, such as streetlamps, headlights at night and LED-based motion capture, and structured light 3D scanning with line illumination and line sensing.

IMAGE PROCESSING DEVICE, METHOD FOR TRAINING MACHINE LEARNING MODEL, IDENTIFICATION DEVICE, AND IMAGE PROCESSING METHOD

An image processing device includes a noise adder that obtains a captured image from an image capturing device including a mask having at least one aperture, an MPH information obtainer that obtains aperture pattern information corresponding to the pattern of the at least one aperture, the noise adder that adds, to the captured image, noise determined according to the aperture pattern information, and a transmitter that outputs the noise added captured image.

IMAGE PROCESSING DEVICE, METHOD FOR TRAINING MACHINE LEARNING MODEL, IDENTIFICATION DEVICE, AND IMAGE PROCESSING METHOD

An image processing device includes a noise adder that obtains a captured image from an image capturing device including a mask having at least one aperture, an MPH information obtainer that obtains aperture pattern information corresponding to the pattern of the at least one aperture, the noise adder that adds, to the captured image, noise determined according to the aperture pattern information, and a transmitter that outputs the noise added captured image.

Image sensor with on-chip occlusion detection and methods thereof
11683598 · 2023-06-20 · ·

An imaging system including an image sensor coupled to a controller to image an external scene is described. The controller includes logic storing instructions that when executed causes the imaging system to perform operations including capturing images, including a first image and a second image, of an external scene, and generating reduced representations of the images including a first reduced representation associated with the first image and a second reduced representation associated with the second image. The operations further include comparing the first reduced representation with the second reduced representation to determine a difference between the first image and the second image and identifying an occurrence of an occlusion affecting the image sensor imaging the external scene when the difference is greater than a threshold value.