H04N23/10

PROCESSING APPARATUS, METHOD, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM
20230217121 · 2023-07-06 ·

A processing apparatus is connected to one or more terminals including a hyperspectral sensor that generates compressed image data which is hyperspectral information of a target compressed as two-dimensional image information over a network. The processing apparatus includes a storage device that stores data sets of samples and a first reconstruction table for generating hyperspectral data from the compressed image data, the data set of each sample includes hyperspectral data of the sample and data indicative of a property value of the sample; and a processing circuit that generates a statistical model for estimating the property value from the hyperspectral data on the basis of the data sets of the samples and generates a second reconstruction table by editing the first reconstruction table in accordance with the statistical model thus generated.

PROCESSING APPARATUS, METHOD, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM
20230217121 · 2023-07-06 ·

A processing apparatus is connected to one or more terminals including a hyperspectral sensor that generates compressed image data which is hyperspectral information of a target compressed as two-dimensional image information over a network. The processing apparatus includes a storage device that stores data sets of samples and a first reconstruction table for generating hyperspectral data from the compressed image data, the data set of each sample includes hyperspectral data of the sample and data indicative of a property value of the sample; and a processing circuit that generates a statistical model for estimating the property value from the hyperspectral data on the basis of the data sets of the samples and generates a second reconstruction table by editing the first reconstruction table in accordance with the statistical model thus generated.

GENERATE SUPER-RESOLUTION IMAGES FROM SPARSE COLOR INFORMATION

Techniques for generating a high resolution full color output image from lower resolution sparse color input images are disclosed. A camera generates images. The camera's sensor has a sparse Bayer pattern. While the camera is generating the images, IMU data for each image is acquired. The IMU data indicates a corresponding pose the camera was in while the camera generated each image. The images and IMU data are fed into a motion model, which performs temporal filtering on the images and uses the IMU data to generate a red-only image, a green-only image, a blue-only image, and a monochrome image. The color images are up-sampled to match the resolution of the monochrome image. A high resolution output color image is generated by combining the up-sampled images and the monochrome image.

GENERATE SUPER-RESOLUTION IMAGES FROM SPARSE COLOR INFORMATION

Techniques for generating a high resolution full color output image from lower resolution sparse color input images are disclosed. A camera generates images. The camera's sensor has a sparse Bayer pattern. While the camera is generating the images, IMU data for each image is acquired. The IMU data indicates a corresponding pose the camera was in while the camera generated each image. The images and IMU data are fed into a motion model, which performs temporal filtering on the images and uses the IMU data to generate a red-only image, a green-only image, a blue-only image, and a monochrome image. The color images are up-sampled to match the resolution of the monochrome image. A high resolution output color image is generated by combining the up-sampled images and the monochrome image.

IMAGE ACQUISITION APPARATUS AND ELECTRONIC APPARATUS INCLUDING THE SAME

An image acquisition apparatus includes: a multispectral image sensor configured to acquire images in at least four channels based on a second wavelength band of about 10 nm to about 1,000 nm; and a processor configured to estimate illumination information of the images by inputting the images of at least four channels to a deep learning network trained in advance, and convert colors of the acquired images using the estimated illumination information.

Imaging device, focusing control method, and computer readable non-transitory recording medium storing a focusing control program
11693207 · 2023-07-04 · ·

An imaging device and a focusing control method are provided. The imaging device includes: an imaging element, having pixels including phase-difference detecting pixels and imaging a subject through an imaging optical system including a focus lens; and a focusing controller, selectively performing focusing control using a phase difference AF method or focusing control using a contrast AF method in a mode in which focusing control for focusing on a main subject by driving the focus lens is continuously performed multiple times. The focusing controller performs the focusing control using the contrast AF method in a case where a state in which a degree of reliability of the focusing control using the phase difference AF method is equal to or less than a threshold value persists N times (N=2 or more), while the focusing control using the phase difference AF method is continuously performed.

Imaging device, focusing control method, and computer readable non-transitory recording medium storing a focusing control program
11693207 · 2023-07-04 · ·

An imaging device and a focusing control method are provided. The imaging device includes: an imaging element, having pixels including phase-difference detecting pixels and imaging a subject through an imaging optical system including a focus lens; and a focusing controller, selectively performing focusing control using a phase difference AF method or focusing control using a contrast AF method in a mode in which focusing control for focusing on a main subject by driving the focus lens is continuously performed multiple times. The focusing controller performs the focusing control using the contrast AF method in a case where a state in which a degree of reliability of the focusing control using the phase difference AF method is equal to or less than a threshold value persists N times (N=2 or more), while the focusing control using the phase difference AF method is continuously performed.

Smart IP camera with color night mode
11696039 · 2023-07-04 · ·

An apparatus includes a camera and a processor circuit. The camera may be configured to capture color images in response to visible light and monochrome infrared images in response to infrared light. The processor circuit may be configured to extract color features from the color images and add color to corresponding monochrome features detected in the monochrome infrared images.

Smart IP camera with color night mode
11696039 · 2023-07-04 · ·

An apparatus includes a camera and a processor circuit. The camera may be configured to capture color images in response to visible light and monochrome infrared images in response to infrared light. The processor circuit may be configured to extract color features from the color images and add color to corresponding monochrome features detected in the monochrome infrared images.

Solid state imaging device, method of manufacturing solid-state imaging device, and electronic apparatus
11546533 · 2023-01-03 · ·

The present technique aims to provide a solid-state imaging device that reduces shading and color mixing between pixels. The present invention also provides a method of manufacturing the solid-state imaging device. The present technique further relates to a solid-state imaging device that enables provision of an electronic apparatus that uses the solid-state imaging device, a method of manufacturing the solid-state imaging device, and an electronic apparatus. The solid-state imaging device includes a substrate, pixels each including a photoelectric conversion unit formed in the substrate, and a color filter layer formed on the light incidence surface side of the substrate. The solid-state imaging device also includes a device isolating portion that is formed to divide the color filter layer and the substrate for the respective pixels, and has a lower refractive index than the refractive indexes of the color filter layer and the substrate.