An electronic apparatus includes a memory storing instructions and a processor configured to execute the instructions to identify a display environment of an image, correct characteristics of a test image provided to identify a user's visual perception for characteristics of the image to correspond to the identified display environment, display the test image having the corrected characteristics on a display, and correct the characteristics of the image based on the user's adjustment input for the characteristics of the displayed test image.

A system includes: a camera unit; a control unit; and a test setup for testing the control unit. The test setup comprises a processor and an image output unit. The processor is configured to manipulate image data to simulate an error of the camera unit and to output, on the image output unit, the manipulated image data in the form of an image detectable via camera optics. The camera unit is configured to detect, via the camera optics, the outputted image data simulating the error of the camera unit. The control unit is configured to receive, from the camera unit, camera image data simulating the error of the camera unit.

A system includes: a camera unit; a control unit; and a test setup for testing the control unit. The test setup comprises a processor and an image output unit. The processor is configured to manipulate image data to simulate an error of the camera unit and to output, on the image output unit, the manipulated image data in the form of an image detectable via camera optics. The camera unit is configured to detect, via the camera optics, the outputted image data simulating the error of the camera unit. The control unit is configured to receive, from the camera unit, camera image data simulating the error of the camera unit.

An imaging system may include an array of image pixels and column readout circuits coupled to each column. The column readout circuits may include test data injection circuitry and converter circuitry coupled to column memory via switching circuits. The injection circuitry may enable the switching circuits so that pixel data is stored on the column memory as rows of an image frame. The injection circuitry may disable the switching circuits and may inject test bits onto the column memory while the switching circuits are disabled. The column memory may store the test bits as one or more rows of the image frame interspersed among rows of the pixel data. Verification circuitry coupled to the column readout circuits may process the test data bits in the image frame to verify proper functionality of some or all of the imaging system without disrupting normal imaging operations by the imaging system.

A video quality evaluation system comprises a training module, a calculation module, an analytical module, a designing module, an optimization module, and an estimation module. The training module collects training videos and trains labels of perceptual quality generation that is associated with the collected videos. The calculation module determines objective metrics based on the trained labels that are associated with the collected videos. The analytical module analyses scenes of the training video, and correlates objective metrics associated with the analysed scenes using perceptual parameters. The designing module designs a Convolutional Neural Network (CNN) Architecture based on data associated with the objective metrics and trains a model generated based on the designed CNN architecture. The optimization module optimizes the model and optimizes power after the model optimization. The estimation module estimates perceptual quality scores for incoming video data after the power optimization.

An image sensor of a camera configured with a diffraction grating is used to capture a diffraction image of an image rendering surface of a display device, for example, while a target image is being rendered on the image rendering surface of the display device. The diffraction image of the image rendering surface of the display device is analyzed to obtain measurements of native display capabilities of the display device. Display capability data is transmitted to a display management module for the display device. At least a portion of the display capability data is generated from the measurements of native display capabilities of the display device that are obtained from analyzing the diffraction image of the image rendering surface of the display device.

An image sensor of a camera configured with a diffraction grating is used to capture a diffraction image of an image rendering surface of a display device, for example, while a target image is being rendered on the image rendering surface of the display device. The diffraction image of the image rendering surface of the display device is analyzed to obtain measurements of native display capabilities of the display device. Display capability data is transmitted to a display management module for the display device. At least a portion of the display capability data is generated from the measurements of native display capabilities of the display device that are obtained from analyzing the diffraction image of the image rendering surface of the display device.

A variety of device interfaces may be connected to a test platform in a fast and efficient manner using multi-pin cables and connectors to support high-volume processing of devices to be tested. The multi-pin cables and connectors may aggregate a plurality of specific device interfaces into a single cable that can be connected via a connector to a test shelf and via a connector to a test platform, reducing the time to setup for device testing and facilitating high-volume processing of devices to be tested.

A variety of device interfaces may be connected to a test platform in a fast and efficient manner using multi-pin cables and connectors to support high-volume processing of devices to be tested. The multi-pin cables and connectors may aggregate a plurality of specific device interfaces into a single cable that can be connected via a connector to a test shelf and via a connector to a test platform, reducing the time to setup for device testing and facilitating high-volume processing of devices to be tested.

A system and method for colorimetric calibration is described herein. A system for performing color calibration is described, comprising at least one broad spectrum light emitting diode, at least one light diffuser plate, at least one interference filter, and a camera, the camera comprising at least one sensor for detection of colors, wherein a spectral response within 5% error of a ground truth method can be achieved. A method for performing color calibration is described, comprising transmitting light from at least one broad spectrum light emitting diode, scattering light with at least one light diffuser plate, filtering light with at least one interference filter, detecting light at a camera sensor, mapping an intensity value for each pixel of the camera sensor, and creating a quantum efficiency curve for each of red, green, and blue channels.