A method of deriving color response characteristics of an image acquisition device, the method including: collecting first training data sets; deriving a first-order color response characteristic of the image acquisition device by performing a matching operation of statistically matching a relationship between device coordinates and colorimetric coordinates of an image acquisition device using the first training data sets; collecting second training data sets corresponding to a spectrum of one or more edge regions of a color gamut of a color matching function representing a sensitivity of a human eye; and deriving a second-order color response characteristic of the image acquisition device by further performing the matching operation using the second training data sets.

An apparatus includes: a first image sensor configured to sense a first image of a subject; a second image sensor configured to sense a second image of the subject; and a third image sensor configured to sense a third image of the subject, wherein each of the first image, the second image, and the third image may include a spectral image different from each other, wherein one of the first image, the second image, and the third image may include an image that is used to obtain a correction value applied to correction of at least one of the others of the first image, the second image, and the third image, wherein the first image, the second image, and the third image sensor are included in a same device, and wherein the others of the first, second, and third images include uncorrected hyperspectral images.

The present disclosure discloses a method for generating texture maps through multi-angle lighting photographing, comprising: constructing a multi-angle lighting photographing environment; photographing color chart images for color correction matrix; photographing white paper images for light intensity correction coefficient; capturing calibration images for transparency calculation; photographing object images for color correction and light intensity correction, including images without backlighting and images with backlighting; generating base color maps, normal maps, metallic maps, roughness maps, and transparency maps. The present disclosure also discloses a storage medium, wherein a computer program is stored, and the computer program is configured to be executed at runtime to perform the above-mentioned method. The present disclosure further discloses an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the above-mentioned method.

Embodiments of this application provide a video processing method and apparatus. The method includes: receiving, by a first device, an operation of enabling photographing in a movie mode, where obtaining, by the first device, a first image sequence based on a camera in response to the operation of enabling photographing; performing, by the first device, encoding based on the first image sequence and first dynamic metadata corresponding to the first brightness scene, to obtain a first HDR video; obtaining, by a second device, the first HDR video from the first device; adjusting, by the second device, a brightness of the first HDR video based on a preset brightness, to obtain a second HDR video; and playing, by the second device, the second HDR video.

In some examples, a method includes serializing, via a processor, image data for a first image to form serialized data mapped to RBG pixels of a second image, the image data in a format other than a RGB pixel format. The method also includes transmitting, by the processor, the serialized data via RGB signaling lines.

In an example, a device includes compression circuitry and transmit circuitry. In operation, the compression circuitry compresses image data of a first image to provide a first set of values indicating colors in the first image and a second set of values identifying a location of each pixel in the first image and a reference to a value, of the first set of values, corresponding to a color of the pixel; generate, based on the first set of values and the second set of values, first serialized data associated with a first color of a second image, second serialized data associated with a second color of the second image, and third serialized data associated with a third color of the second image. The transmit circuitry is operable to transmit the first, second, and third serialized data via first, second, and third signaling lines, respectively.

Embodiments of this application provide a data processing method, device, filming system, and computer storage medium. The data processing method includes: obtaining a target background resource to be displayed, where the target background resource includes an image resource and/or a video resource; performing image quality optimization on an image in the background resource according to reference information, where the reference information is used for indicating a situation in a background resource display process; displaying the background resource, to use the image in the background resource as a background for filming. During filming, a terminal device performs image quality optimization on an image in a background resource and then displays a background. This process does not require post matting and synthesis and reduces production costs and time costs. Moreover, on-site filming can ensure that the background matches with lighting effects of a real scene, thereby achieving a better film result.