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.

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.

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.

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.

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.

An image processing apparatus and method are provided. The image processing apparatus includes: a memory configured to store at least one instruction, and a processor electrically connected to the memory, wherein the processor, by executing the at least one instruction, is configured to: apply an input image to a training network model; and apply, to a pixel block included in the input image, a texture patch corresponding to the pixel block to obtain an output image, wherein the training network model stores a plurality of texture patches corresponding to a plurality of classes classified based on a characteristic of an image, and is configured to train at least one texture patch, among the plurality of texture patches, based on the input image.

Techniques in connection with a :light field camera array are disclosed, involving generating a temperature data for an imaging camera included in an imaging camera array for a first time, obtaining an image data from the imaging camera, generating temperature-based correction parameters corresponding to the temperature data based on at least a stored temperature calibration data; and producing corrected image data by applying a geometric distortion correction and/or color correction indicated by the temperature-based correction parameters to the image data.

Techniques in connection with a :light field camera array are disclosed, involving generating a temperature data for an imaging camera included in an imaging camera array for a first time, obtaining an image data from the imaging camera, generating temperature-based correction parameters corresponding to the temperature data based on at least a stored temperature calibration data; and producing corrected image data by applying a geometric distortion correction and/or color correction indicated by the temperature-based correction parameters to the image data.

Visibility of a license plate and color reproducibility of a vehicle body are improved in a monitoring camera. A vehicle body area detection unit detects a vehicle body area of a vehicle from an image signal. A license plate area detection unit detects a license plate area of the vehicle from the image signal. A vehicle body area image processing unit performs processing of the image signal corresponding to the detected vehicle body area. A license plate area image processing unit performs processing different from the processing of the image signal corresponding to the vehicle body area on the image signal corresponding to the detected license plate area. A synthesis unit synthesizes the processed image signal corresponding to the vehicle body area and the processed image signal corresponding to the license plate area.

Visibility of a license plate and color reproducibility of a vehicle body are improved in a monitoring camera. A vehicle body area detection unit detects a vehicle body area of a vehicle from an image signal. A license plate area detection unit detects a license plate area of the vehicle from the image signal. A vehicle body area image processing unit performs processing of the image signal corresponding to the detected vehicle body area. A license plate area image processing unit performs processing different from the processing of the image signal corresponding to the vehicle body area on the image signal corresponding to the detected license plate area. A synthesis unit synthesizes the processed image signal corresponding to the vehicle body area and the processed image signal corresponding to the license plate area.