This determination comprises: defining key constant-hue leaves such to partition the gamut mapping color space into angular hue sectors; for each key constant hue leaf, defining a key hue leaf chroma mapping function; for each angular hue sector, defining a continuous angular hue sector chroma mapping function such that, for any source color belonging to one of the two key constant-hue leaves delimiting this angular hue sector, this continuous chroma mapping function allows to map the chroma of said source color according to the key hue leaf chroma mapping function of the key constant-hue leaf to which said source color belongs. Preferably, this mapping functions are non linear polynomials.

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 image acquisition apparatus includes a first image sensor configured to obtain a first image based on detection of a light of a first wavelength band; a second image sensor configured to obtain a second image based on detection of a light of a second wavelength band that is wider than the first wavelength band; and a processor configured to obtain a third image having a spatial resolution corresponding to the first image and a color gamut corresponding to the second image based on the first image and the second image. The image acquisition apparatus may provide an image with a high spatial resolution and a wide color gamut.

An example method is performed by a thermal imaging device. The method includes capturing a thermal image of a vehicle and displaying the thermal image within a first region of a display of the thermal imaging device. The method further includes displaying information related to servicing the vehicle within a second region of the display that is distinct from the first region.

Computer-based systems, methods and computer program products for colorimetric mapping are provided. In one embodiment of the method, the method includes obtaining a digital reference image, including: illuminating a known reference source with an arbitrary illumination; and determining an observed illumination by receiving light signals from the reference source at an image sensor; determining a color-balance matrix by minimizing an error between colorimetric values of the digital reference image and color corrected pixel values; applying the color-balance matrix to the digital reference image to produce a color-corrected image; determining a color-space transformation matrix that transforms a color space of the image sensor to a perceptual color space; generating a transformed image by applying the color-space transformation matrix to the color corrected image; and outputting the transformed image.

Disclosed is an HDR film source playing method. The method includes following operations: determining state information of a color temperature control switch according to an application that is currently opened; playing an HDR film source on the application according to a color temperature of a display screen when the state information is on; and playing the HDR film source according to a color temperature corresponding to the application when the state information is off. Further disclosed are an HDR film source playing device and a computer-readable storage medium.

An image processing apparatus and method for converting a frame rate are provided. According to the present disclosure, an electronic device includes a memory, a first black-and-white image sensor, a second image sensor, and a processor. The processor is configured to set different values as a first setting value for the first black-and-white image sensor and a second setting value for the second image sensor, if an illuminance value indicating an illuminance at an arbitrary time point does not satisfy a predetermined illuminance value, to acquire a black-and-white image of an object based on the first setting value using the first black-and-white image sensor, to acquire at least one color image of the object based on the second setting value using the second image sensor, to generate a color image by synthesizing the black-and-white image with a color determined based on at least part of color information of the at least one color image, and to store the generated color image as video data in the memory. The black-and-white image has a high resolution relative to a resolution of the at least one color image.

The present invention discloses a gray scale adjustment method and device for a display panel. The method includes: performing an image acquisition on the display panel to obtain a current image; identifying a relationship between a range of differences of gray scale values of all pixels in the current image and a target interval by a distinguishing method to identify the uneven block; detecting an original output luminance and an original input gray scale of the uneven block; determining a target input gray scale corresponding to a preset target luminance according to an actual gamma curve value obtained by testing the display panel; and taking a difference between the original input gray scale and the target input gray scale as a gray scale compensation value of the uneven block.

The present invention discloses a gray scale adjustment method and device for a display panel. The method includes: performing an image acquisition on the display panel to obtain a current image; identifying a relationship between an average value of gray scale values of all pixels in a set range in the current image and a target value by a distinguishing method, in order to identify an uneven block in the current image; detecting an original output luminance and an original input gray scale of the uneven block; determining a target input gray scale corresponding to a preset target luminance according to an actual gamma curve value obtained by testing the display panel; and taking a difference between the original input gray scale and the target input gray scale as a gray scale compensation value of the uneven block.

An image processing apparatus that generates a combined image by performing gamma processing and combination processing for a plurality of images obtained by capturing images of the same image capturing-target scene under different exposure conditions and includes: an acquisition unit configured to acquire adjustment parameters that adjust gamma characteristics applied to the gamma processing in accordance with a dynamic range of the image capturing-target scene; a gamma processing unit configured to perform the gamma processing to which adjustment parameters acquired by the acquisition unit have been applied for the plurality of images; and a combination unit configured to generate the combined image by performing the combination processing for the plurality of images for which the gamma processing has been performed by the gamma processing unit.