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.

A mapping curve parameter obtaining method and apparatus are described. The method includes obtaining a first mapping curve parameter set and first maximum target system display luminance, and obtaining a display luminance parameter set, where the display luminance parameter set includes maximum display luminance and/or minimum display luminance of a display device. The method also includes obtaining an adjustment coefficient set, where the adjustment coefficient set includes one or more adjustment coefficients, and the one or more adjustment coefficients correspond to one or more parameters in the first mapping curve parameter set. Furthermore, the method includes adjusting the one or more parameters in the first mapping curve parameter set based on the display luminance parameter set, the first maximum target system display luminance, and the adjustment coefficient set to obtain a second mapping curve parameter set, where the second mapping curve parameter set includes one or more adjusted parameters.

Methods and systems are described for processing an image captured with an image sensor, such as a camera. In one embodiment, an estimated ambient light level of the captured image is determined and used to compute an optical-optical transfer function (OOTF) that is used to correct the image to preserve an apparent contrast of the image under the estimated ambient light level in a viewing environment. The estimated ambient light level is determined by scaling pixel values from the image sensor using a function that includes exposure parameters and a camera specific parameter derived from a camera calibration.

Methods and systems are described for processing an image captured with an image sensor, such as a camera. In one embodiment, an estimated ambient light level of the captured image is determined and used to compute an optical-optical transfer function (OOTF) that is used to correct the image to preserve an apparent contrast of the image under the estimated ambient light level in a viewing environment. The estimated ambient light level is determined by scaling pixel values from the image sensor using a function that includes exposure parameters and a camera specific parameter derived from a camera calibration.

An image capturing control apparatus includes a detection unit configured to detect a specific object area in an image captured by an image capturing apparatus, an acquisition unit configured to acquire a first input/output characteristic of the image capturing apparatus, a conversion unit configured to convert the image by acquiring a second input/output characteristic that is an inverse input/output characteristic to the first input/output characteristic, and by applying the second input/output characteristic to the image, and a control unit configured to control exposure of the image capturing apparatus based on a luminance value of the specific object area in the converted image.

A video reproduction device includes a calibration image generator configured to generate calibration images to be displayed by a display and a display device; a receiver configured to receive, from an image capturing device, a captured image in which the calibration image displayed by the display and the calibration image displayed by the display device are captured or information generated on the basis of the captured image; a corrected data calculator configured to calculate color-component-corrected data from a color component difference between the calibration image displayed by the display and the calibration image displayed by the display device; and a second video signal output configured to perform color correction on a video signal representing the same video as the video signal that is output to the display according to the corrected data obtained by the corrected data calculator and output a color-corrected video signal to the display device.

A projection apparatus projects an image on a screen based on input data including information on absolute luminance. The projection apparatus includes: a peak luminance value acquisition unit configured to acquire a peak luminance value on the screen when the projection apparatus projects an image on the screen at a maximum output gradation value; a reference luminance value setting unit configured to set a reference luminance value to be higher than the peak luminance value; a relation information setting unit configured to set, based on the reference and peak luminance values, relation information indicating a relation between an output gradation value and a light output value for displaying an output image; an output gradation value setting unit configured to set an output gradation value based on the input data and the relation information; and an output control unit configured to output an image based on the output gradation value.

Techniques are described for efficiently embedding frame masks in a video stream. In some solutions, a computer implemented method includes operations for encoding a frame of video data comprising an array of pixels to generate an encoded video frame and transmitting the encoded video frame. The array of pixels can include foreground pixels and background pixels. The foreground pixels can have respective original luma values which are bounded within a first luma range. In certain examples, encoding the frame of video data can include converting the original luma values of the foreground pixels to updated luma values which are bounded within a second luma range. The second luma range can be shifted and/or compressed from the first luma range.

An object is to facilitate tone adjustment. For this object, an image processing system according to the present technology includes: a setting value determination unit that determines a setting value of a tone curve characteristic to be applied to a linear image signal having a linear characteristic according to an operation of a user; a tone adjustment unit that applies the tone curve characteristic based on the determined setting value to the linear image signal; and an image signal output unit that outputs, as an output image signal, an image signal after tone curve application obtained by application of the tone curve characteristic to the linear image signal. This configuration facilitates tone adjustment.

An operation method and an electronic device supporting the same are provided. The operation method includes receiving, by a display driver integrated circuit (IC), display data from a processor and supplying, by the display driver IC, a second gamma signal set to display a luminance of a second magnitude greater than a first magnitude to a second display area having a second pixel arrangement density lower than a first pixel arrangement density, while supplying a first gamma signal set to display a luminance of the first magnitude to a first display area disposed at the first pixel arrangement density in a display panel.