This application provides a high dynamic range HDR video processing method, an encoding device, and a decoding device. The method includes: obtaining dynamic metadata of an N.sup.th HDR video frame according to a dynamic metadata generation algorithm; calculating a tone-mapping (tone-mapping) curve parameter of the N.sup.th HDR video frame based on the dynamic metadata of the N.sup.th HDR video frame; generating a tone-mapping curve based on the curve parameter; determining, according to a quality assessment algorithm, distortion D′ caused by the tone-mapping curve; comparing D′ and D.sub.T, to determine a mode used by the N.sup.th HDR video frame, where the mode is an automatic mode or a director mode, and D.sub.T is a threshold value; and determining metadata of the N.sup.th HDR video frame based on the determined mode used by the N.sup.th HDR video frame.

This application provides a high dynamic range HDR video processing method, an encoding device, and a decoding device. The method includes: obtaining dynamic metadata of an N.sup.th HDR video frame according to a dynamic metadata generation algorithm; calculating a tone-mapping (tone-mapping) curve parameter of the N.sup.th HDR video frame based on the dynamic metadata of the N.sup.th HDR video frame; generating a tone-mapping curve based on the curve parameter; determining, according to a quality assessment algorithm, distortion D′ caused by the tone-mapping curve; comparing D′ and D.sub.T, to determine a mode used by the N.sup.th HDR video frame, where the mode is an automatic mode or a director mode, and D.sub.T is a threshold value; and determining metadata of the N.sup.th HDR video frame based on the determined mode used by the N.sup.th HDR video frame.

An information processing apparatus includes an input interface, a processor, and an output interface. The input interface obtains observation data obtained from an observation space. The processor detects a subject image of a detection target from the observation data, calculates a plurality of individual indices indicating degrees of reliability, each of which relates to at least identification information or measurement information regarding the detection target, and also calculates an integrated index, which is obtained by integrating a plurality of calculated individual indices. The output interface outputs the integrated index.

An information processing apparatus includes an input interface, a processor, and an output interface. The input interface obtains observation data obtained from an observation space. The processor detects a subject image of a detection target from the observation data, calculates a plurality of individual indices indicating degrees of reliability, each of which relates to at least identification information or measurement information regarding the detection target, and also calculates an integrated index, which is obtained by integrating a plurality of calculated individual indices. The output interface outputs the integrated index.

Changes in ambient light intensity are detected by processing image data from an image capture device to determine, iteratively, a signal-to-noise ratio of the image data. The signal-to-noise ratio is a ratio of average to variance of pixel values for some of the pixels forming the image. A control outputis generated, based on the signal-to-noise ratio, that is responsive to changes in ambient light intensity. The control output is used control a light source of a vehicle.

A high efficiency method of processing images to provide perceptual high-contrast output. Pixel intensities are calculated by a weighted combination of a fixed number of static bounding rectangle sizes. This is more performant than incrementally growing the bounding rectangle size and performing expensive analysis on resultant histograms. To mitigate image artifacts and noise, blurring and down-sampling are applied to the image prior to processing.

A high efficiency method of processing images to provide perceptual high-contrast output. Pixel intensities are calculated by a weighted combination of a fixed number of static bounding rectangle sizes. This is more performant than incrementally growing the bounding rectangle size and performing expensive analysis on resultant histograms. To mitigate image artifacts and noise, blurring and down-sampling are applied to the image prior to processing.

Embodiments are disclosed for determining a context-aware text color recommendation for text at a text location on an image. In particular, in one or more embodiments, the disclosed systems and methods comprise obtaining an image and a text location on the image, identifying at least one color theme based on a color harmonic template associated with the image, modifying the at least one color theme based on characteristics of the image, determining accessibility for at least one color in the at least one color theme based on the text location on the image, and determining a color palette recommendation for text at the text location on the image based on the determined accessibility for the at least one color in the at least one color theme.

Embodiments are disclosed for determining a context-aware text color recommendation for text at a text location on an image. In particular, in one or more embodiments, the disclosed systems and methods comprise obtaining an image and a text location on the image, identifying at least one color theme based on a color harmonic template associated with the image, modifying the at least one color theme based on characteristics of the image, determining accessibility for at least one color in the at least one color theme based on the text location on the image, and determining a color palette recommendation for text at the text location on the image based on the determined accessibility for the at least one color in the at least one color theme.

An image processing method includes an electronic device that outputs a first frame rate when the electronic device detects that ambient light brightness in a current environment is less than or equal to a first preset light brightness threshold; collects first video data based on the first frame rate, where the first video data includes a plurality of frames of images; and performs frame interpolation on the frames of images to obtain and store second video data, where a frame rate of the second video data is greater than the first frame rate.