A color space mapping method includes: confirming data volume of original data, and determining a data extraction ratio according to the data volume; determining a preset order of extracting the original data according to the data extraction ratio; extracting the original data in the preset order, calculating feature data according to the extracted original data, and calculating a feature coefficient according to the original data and the feature data; generating a 3D pixel gray scale table according to the feature coefficient and the feature data; transmitting the 3D pixel gray scale table to a color processing area, to allow a target TV terminal to read a stored data content of the 3D pixel gray scale table for image color mapping; and performing the image color mapping through the 3D pixel scale table. A non-transitory computer readable storage medium and a color space mapping device are further provided.

An information processing apparatus simulates a measurable region of a sensor when the sensor is arranged in a measurement region to be measured, and the information processing apparatus includes: a generation unit that generates a measurement region map with environment information based on a three-dimensional model of the measurement region to be measured and the environment information that causes a change in a measurement result of the sensor; an execution unit that virtually arranges the sensor on the measurement region map with environment information generated by the generation unit, and simulates the measurable region of the sensor based on sensor information related to the measurable region of the sensor; and an output unit that outputs a result of simulation by the execution unit.

A comparison area detection unit of image processing circuitry detects an image area of a fading determination object on the basis of an image signal generated by an image capturing unit using a color filter as a comparison area. A color information generation unit generates color information from the image signal of the comparison area and uses the color information as comparison target information. A color information comparison unit compares the color information of the fading determination object as fading determination reference information with the comparison target information. A fading information generation unit generates fading information indicating that a fading level of the color filter exceeds a predetermined level or the fading level of the color filter on the basis of comparison information indicating a comparison result between the fading determination reference information and the comparison target information. The fading state of the color filter can be detected with precision.

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.

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.

An electronic apparatus, including a memory configured to store information related to Graphical User Interface (GUI); a display; and a processor configured to: control the display to display a content area including a content and a black box area generated based on an aspect ratio of the content area and an aspect ratio of the display; based on receiving a user command for displaying a GUI, determine whether the content has a predetermined type based on type information of the content; based on determining that the content has the predetermined type, determine whether the GUI is included in the black box area based on a size of the GUI and a size of the black box area; and based on determining that the GUI is not included in the black box area, adjust a display position of the content area such that the GUI is included in the black box area.

Provided is a display device including: an inputter/outputter comprising circuitry configured to request a content providing device to provide content at a first resolution and receive a first image at the first resolution from the content providing device, a display configured to display the first image, a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored in the memory to: change a resolution requested to the content providing device from the first resolution to a second resolution, control the display to receive a second image from the content providing device and display the received second image in response to the change of the requested resolution, determine whether an error occurs in the displayed second image, and change the requested resolution from the second resolution to the first resolution based on an error occurring in the second image.

A calibration device receives at least a first multispectral measurement of: a first monochromatic signal taken at a first pixel location; a second multispectral measurement of a second monochromatic signal taken at a second pixel location; and a multiplicity of third multispectral measurements of a spatially distributed wide bandwidth dispersed spectrum, of a wide bandwidth signal, taken at a multiplicity of third pixel locations. The device relates known pixel values of wavelengths to pixel values of measured wavelengths. The device outputs spectrum wavelength and power calibration values for the multispectral imaging system, comprising at least a relation of: a first third pixel location to a first known wavelength; and a second third pixel location to a second known wavelength.

An illustrative example embodiment of a camera testing device includes a plurality of optic components in a predetermined arrangement that places a center of each of the optic components in a position to be aligned with a line of sight of a respective, predetermined portion of a camera field of view when the plurality of optic components are between the camera and at least one target.

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.