H04N5/208

Image sensing assembly

An image sensing assembly includes an enclosure that defines a first viewport aperture in a front wall of the enclosure. The image sensing assembly includes a first image sensor attached within the enclosure, the first image sensor aligned with the first viewport aperture in the front wall of the enclosure to capture image data representative of a scene viewed through the first viewport aperture. The image sensing assembly includes a bracket attached to the enclosure at a first portion of the bracket and attached to a first mounting plate at a second portion of the bracket. The image sensing assembly includes a vibration dampening mount located between the bracket and the first mounting plate to at least partially isolate the enclosure from vibration of the first mounting plate.

Image sensing assembly

An image sensing assembly includes an enclosure that defines a first viewport aperture in a front wall of the enclosure. The image sensing assembly includes a first image sensor attached within the enclosure, the first image sensor aligned with the first viewport aperture in the front wall of the enclosure to capture image data representative of a scene viewed through the first viewport aperture. The image sensing assembly includes a bracket attached to the enclosure at a first portion of the bracket and attached to a first mounting plate at a second portion of the bracket. The image sensing assembly includes a vibration dampening mount located between the bracket and the first mounting plate to at least partially isolate the enclosure from vibration of the first mounting plate.

METHOD FOR DRIVING SEMICONDUCTOR DEVICE
20210366421 · 2021-11-25 ·

The resolution of a low-resolution image is made high and a stereoscopic image is displayed. Resolution is made high by super-resolution processing. In this case, the super-resolution processing is performed after edge enhancement processing is performed. Accordingly, a stereoscopic image with high resolution and high quality can be displayed. Alternatively, after image analysis processing is performed, edge enhancement processing and super-resolution processing are concurrently performed. Accordingly, processing time can be shortened.

Validation of infrared (IR) camera distortion accuracy

The present technology is directed to determining an accuracy of an infrared (IR) camera, and more particularly, validating a distortion accuracy of an IR camera. The present technology can receive one or more images of a calibration harp captured by the IR camera, wherein the one or more images include a plurality of lines corresponding to a plurality of strings of the calibration harp. The present technology can further determine a degree of distortion of the plurality of lines based on a distortion error coefficient, wherein the distortion error coefficient is computed based on edge points of the plurality of lines on the one or more images.

Validation of infrared (IR) camera distortion accuracy

The present technology is directed to determining an accuracy of an infrared (IR) camera, and more particularly, validating a distortion accuracy of an IR camera. The present technology can receive one or more images of a calibration harp captured by the IR camera, wherein the one or more images include a plurality of lines corresponding to a plurality of strings of the calibration harp. The present technology can further determine a degree of distortion of the plurality of lines based on a distortion error coefficient, wherein the distortion error coefficient is computed based on edge points of the plurality of lines on the one or more images.

Method for driving semiconductor device

The resolution of a low-resolution image is made high and a stereoscopic image is displayed. Resolution is made high by super-resolution processing. In this case, the super-resolution processing is performed after edge enhancement processing is performed. Accordingly, a stereoscopic image with high resolution and high quality can be displayed. Alternatively, after image analysis processing is performed, edge enhancement processing and super-resolution processing are concurrently performed. Accordingly, processing time can be shortened.

Image brightness adjustment method, system, and computer-readable storage medium

Disclosed are an image brightness adjustment method, an image brightness adjustment device, an image brightness adjustment system and a computer-readable storage medium. The method includes the steps of: subsequent to receiving an image signal to be displayed, performing noise reduction processing on the image signal to be displayed, and obtaining the image signal to be displayed after noise reduction; comparing the image signal to be displayed before noise reduction with the image signal to be displayed after noise reduction, and obtaining a signal-to-noise ratio; calculating a compensation intensity coefficient according to the signal-to-noise ratio, and determining an attribute value of each region of an image to be displayed; and adjusting a brightness of the image to be displayed according to the compensation intensity coefficient and the attribute value.

Camera-specific distortion correction

A camera includes an image sensor, a lens, memory, and a controller. The lens is positioned to direct object light from a scene onto the image sensor. The memory is configured to store a camera-specific optical center of the lens relative to the image sensor. The camera-specific optical center is measured after a position of the lens is center fixed relative to a position of the image sensor. The controller is configured to acquire a raw image of the scene via the image sensor and generate a distortion corrected image from the raw image based on at least the camera-specific optical center.

Camera-specific distortion correction

A camera includes an image sensor, a lens, memory, and a controller. The lens is positioned to direct object light from a scene onto the image sensor. The memory is configured to store a camera-specific optical center of the lens relative to the image sensor. The camera-specific optical center is measured after a position of the lens is center fixed relative to a position of the image sensor. The controller is configured to acquire a raw image of the scene via the image sensor and generate a distortion corrected image from the raw image based on at least the camera-specific optical center.

Image sensing assembly

An image sensing assembly includes an enclosure that defines a first viewport aperture in a front wall of the enclosure. The image sensing assembly includes a first image sensor attached within the enclosure, the first image sensor aligned with the first viewport aperture in the front wall of the enclosure to capture image data representative of a scene viewed through the first viewport aperture. The image sensing assembly includes a bracket attached to the enclosure at a first portion of the bracket and attached to a first mounting plate at a second portion of the bracket. The image sensing assembly includes a vibration dampening mount located between the bracket and the first mounting plate to at least partially isolate the enclosure from vibration of the first mounting plate.