This system is designed to color correct a targeted color or colors in a video stream comprising: a computer device having a computer readable medium; and, a set of computer readable instructions embodied on the computer readable medium that are configured to: receive a dataset that includes one or more pairs of video frames where a first frame of the pair of an incorrect color frame and the second frame of the pair is a color correct frame, using a machine learning module to create a mask according to the dataset, receiving an image, correcting the image, and, transmitting the corrected image to a display.

An auto white balance method is disclosed. The auto white balance method includes receiving image data to divide the image data into a plurality of partition cells, calculating an estimation value of a skin tone included in the image data, and selecting outliers for detection of a white point of the image data, based on at least some of the plurality of partition cells and the estimation value.

A system is provided for generating video content with hue-preservation in virtual production. The system comprises a memory for storing instructions and a processor configured to execute the instructions. Based on the executed instructions, the processor is further configured to control a saturation of scene linear data based on mapping of a first color gamut corresponding to a first encoding format of raw data to a second color gamut corresponding to a defined color space. The processor is further configured to determine a standard dynamic range (SDR) video content in the defined color space based on the scene linear data. Based on a scaling factor that is applied to three primary color values that describe the first color gamut, hue of the SDR video content is preserved.

A system is provided for generating video content with hue-preservation in virtual production. The system comprises a memory for storing instructions and a processor configured to execute the instructions. Based on the executed instructions, the processor is further configured to control a saturation of scene linear data based on mapping of a first color gamut corresponding to a first encoding format of raw data to a second color gamut corresponding to a defined color space. The processor is further configured to determine a standard dynamic range (SDR) video content in the defined color space based on the scene linear data. Based on a scaling factor that is applied to three primary color values that describe the first color gamut, hue of the SDR video content is preserved.

Systems and methods for displaying super saturated color. Image data for display on a display or viewing device with a potential white luminance in a standard system with a maximum luminance is processed such that colors near the white point are reduced to a limited luminance. As the chroma of the displayed color is increased, a luminance attenuation is decreased. The scaling of the reduction is operable to be a linear function, a non-linear function, or any other function.

A camera system with a multispectral sensor that can be used in combination with a flash to determine a spectrum of the ambient illumination without needing a separate measurement. This may then be used to colour-correct an image captured with or without flash.

A display device and a white balance adjusting method of a photosensitive element of the display device are provided. The display device includes a display panel, the photosensitive element, and a driver integrated circuit (IC). A first white balance imaging parameter is color parameters of a preset image collected by the photosensitive element of the display device under a preset light source. A second white balance imaging parameter is color parameters of a preset image collected by a photosensitive element of a typical display device under the preset light source. The driver IC is configured to perform a white balance compensation on image data collected by the photosensitive element of the display device according to a deviation between the first white balance imaging parameter the second white balance imaging parameter.

A method of determining the concentration of an analyte in a sample of a body fluid with a mobile device having a camera is disclosed. The camera captures an image of a color reference card and of a reagent test field of an optical test strip having a sample applied to it. A predetermined pixel-based mean tone map correction is applied to the image obtained, which results in a first intensity-corrected image. Local brightness information is derived from the first intensity-corrected image. A mobile device-specific tone map correction is applied to the first intensity-corrected image, taking into account the local brightness information. A second intensity-corrected image is thereby obtained. Analyte concentration is determined based on a color formation reaction of the test field by using the second intensity-corrected image. Optionally, a color correction may be derived and applied to the second intensity-corrected image to obtain an intensity-corrected and color-corrected image.

A method of determining the concentration of an analyte in a sample of a body fluid with a mobile device having a camera is disclosed. The camera captures an image of a color reference card and of a reagent test field of an optical test strip having a sample applied to it. A predetermined pixel-based mean tone map correction is applied to the image obtained, which results in a first intensity-corrected image. Local brightness information is derived from the first intensity-corrected image. A mobile device-specific tone map correction is applied to the first intensity-corrected image, taking into account the local brightness information. A second intensity-corrected image is thereby obtained. Analyte concentration is determined based on a color formation reaction of the test field by using the second intensity-corrected image. Optionally, a color correction may be derived and applied to the second intensity-corrected image to obtain an intensity-corrected and color-corrected image.

A computing system includes a first camera, a second camera, a microphone, and a display. The computing system is configured to independently activate the first camera and/or the second camera. The computing system first receives a user input initiating a two-way camera operation using both the first camera and the second camera. In response to the user input, the computing system activates the first camera and generates a first visualization, displaying a first image generated by the first camera, and activates the second camera and generates a second visualization, displaying a second image generated by the second camera. Both the first visualization and the second visualization are simultaneously displayed on the display of the computing system, while functions of each of the first camera and second camera can be started, stopped paused unpaused or modified individually.