H04N17/02

Image calibration method of imaging system providing color appearance consistency

An image calibration method for use in an imaging system. The imaging system includes a projection device, a color detector and a processor. The image calibration method includes in an ambient light environment, the color detector taking a background luminance and an ambient measurement of a test image on a projection surface, and the processor generating a color appearance representation using the background luminance and the ambient measurement, in a darkroom environment, the color detector taking a darkroom measurement of a test image, and if a surround ratio is less than a predetermined threshold, the processor generating a target using the darkroom measurement and the color appearance representation, and the processor configuring a gamut of the projection device according to the target, and adjusting an image according to the gamut and the darkroom measurement, and the projection device projecting the adjusted image.

Image calibration method of imaging system providing color appearance consistency

An image calibration method for use in an imaging system. The imaging system includes a projection device, a color detector and a processor. The image calibration method includes in an ambient light environment, the color detector taking a background luminance and an ambient measurement of a test image on a projection surface, and the processor generating a color appearance representation using the background luminance and the ambient measurement, in a darkroom environment, the color detector taking a darkroom measurement of a test image, and if a surround ratio is less than a predetermined threshold, the processor generating a target using the darkroom measurement and the color appearance representation, and the processor configuring a gamut of the projection device according to the target, and adjusting an image according to the gamut and the darkroom measurement, and the projection device projecting the adjusted image.

Image sensing device and operating the same

A method of operating an image sensing device includes applying control voltages to a pixel array in accordance with a test mode and performing an analog-to-digital conversion of a column line voltage to obtain one or more digital codes. The one or more digital codes are evaluated to detect an operating error associated with the column line and/or corresponding analog to digital converter. In response to an operating error, pixel values may be replaced or averaged with nearby pixel outputs not affected by the operating error.

Smart self calibrating camera system

The present invention describes a system for calibrating a plurality of cameras in an area. The system functions by using certain patterns with visible or invisible properties In addition, the system implements automatic re-calibration in a specific way to reduce human intervention, cost and time.

Electronic device, system, and method of controlling electronic device
11743448 · 2023-08-29 · ·

Provided is an electronic device including a cell array unit in which cells are arranged in rows and columns, signal lines, each of the signal lines being arranged corresponding to one of the rows or columns and being connected to corresponding cells, a first electrode via which a signal according to a signal transmitted via at least one of the signal lines passes, a second electrode to which a selection signal is input to select a part of the signal lines; and a third electrode that is electrically connected to a node between cells that are connected to the part of the signal lines selected based on the selection signal and the first electrode. A voltage potential of the third electrode correlates with a voltage potential of the part of the signal lines selected based on the selection signal.

CAMERA MODULE TEST APPARATUS, CAMERA MODULE TEST METHOD AND IMAGE GENERATING DEVICE
20220150467 · 2022-05-12 ·

A camera module test apparatus having improved performance include a coefficient data extractor that accommodates a camera module; and a test apparatus that accommodates the camera module and tests the camera module. The coefficient data extractor includes a coefficient generator that receives an image signal output from the camera module, and generates coefficient data of a ratio of a first color image signal and a second color image signal included in the image signal; and a memory device that stores the generated coefficient data. The test apparatus includes an image generator that receives an image signal from the camera module and coefficient data from the memory device, and generates a converted pattern image signal based on the image signal and the coefficient data; and a calibration data generator that generates calibration data of the converted pattern image signal.

CAMERA MODULE TEST APPARATUS, CAMERA MODULE TEST METHOD AND IMAGE GENERATING DEVICE
20220150467 · 2022-05-12 ·

A camera module test apparatus having improved performance include a coefficient data extractor that accommodates a camera module; and a test apparatus that accommodates the camera module and tests the camera module. The coefficient data extractor includes a coefficient generator that receives an image signal output from the camera module, and generates coefficient data of a ratio of a first color image signal and a second color image signal included in the image signal; and a memory device that stores the generated coefficient data. The test apparatus includes an image generator that receives an image signal from the camera module and coefficient data from the memory device, and generates a converted pattern image signal based on the image signal and the coefficient data; and a calibration data generator that generates calibration data of the converted pattern image signal.

Systems and methods for improved camera color calibration

Systems, methods, and computer-readable media are disclosed for improved camera color calibration. An example method may involve capturing a first wavelength emitted by a first type of traffic light. The example method may also involve determining, based on the first wavelength, a first color value associated with the wavelength emitted by the first type of traffic light. The example method may also involve capturing, by a first camera, a first image, video, or real-time feed of a first portion of a test target, the first portion of the test target including a first light color that is based on the first color value. The example method may also involve determining, based on the first image, video, or real-time feed of the first portion of a test target, a second color value output by the camera. The example method may also involve determining, based on a comparison between the first color value and the second color value, that a difference exists between the first color value and the second color value. The example method may also involve adjusting, based on the detection that a difference exists between the first color value and the second color value, at least one of: a property of the camera or signal processing associated with the camera.

Systems and methods for improved camera color calibration

Systems, methods, and computer-readable media are disclosed for improved camera color calibration. An example method may involve capturing a first wavelength emitted by a first type of traffic light. The example method may also involve determining, based on the first wavelength, a first color value associated with the wavelength emitted by the first type of traffic light. The example method may also involve capturing, by a first camera, a first image, video, or real-time feed of a first portion of a test target, the first portion of the test target including a first light color that is based on the first color value. The example method may also involve determining, based on the first image, video, or real-time feed of the first portion of a test target, a second color value output by the camera. The example method may also involve determining, based on a comparison between the first color value and the second color value, that a difference exists between the first color value and the second color value. The example method may also involve adjusting, based on the detection that a difference exists between the first color value and the second color value, at least one of: a property of the camera or signal processing associated with the camera.

Camera module test apparatus, camera module test method and image generating device

A camera module test apparatus having improved performance include a coefficient data extractor that accommodates a camera module; and a test apparatus that accommodates the camera module and tests the camera module. The coefficient data extractor includes a coefficient generator that receives an image signal output from the camera module, and generates coefficient data of a ratio of a first color image signal and a second color image signal included in the image signal; and a memory device that stores the generated coefficient data. The test apparatus includes an image generator that receives an image signal from the camera module and coefficient data from the memory device, and generates a converted pattern image signal based on the image signal and the coefficient data; and a calibration data generator that generates calibration data of the converted pattern image signal.