Abstract: Embodiments of this application provide a method for processing image signal conversion, including: obtaining a primary color component of a to-be-processed pixel; and converting a first value of the primary color component into a second value based on a preset dynamic range conversion model, where the dynamic range conversion model is: L ? = F ? ( L ) = a × ( p × L n ( k 1 × p - k 2 ) × L n + k 3 ) m + b , where L is the first value, L? is the second value, and k1, k2, k3, a, b, m, n, and p are model parameters.

Abstract: An inter prediction method is provided, including: obtaining a first reference frame index and a first motion vector of a to-be-processed block; deriving a second reference frame index from the first reference frame index, where the second reference frame index is different from the first reference frame index; scaling the first motion vector to obtain a second motion vector; obtaining a first reference block of the to-be-processed block according to the first reference frame index and the first motion vector; obtaining a second reference block of the to-be-processed block according to the second reference frame index and the second motion vector; and weighting the first reference block and the second reference block to obtain a combined prediction block. Each reference list for inter prediction is allowed to include two groups of motion information, which helps improve an inter prediction effect.

Abstract: This application provides a picture processing method. The method includes: The encoder side obtains a to-be-processed picture, obtains a plurality of groups of visual sensory experience parameters, and encodes the to-be-processed picture and the plurality of groups of visual sensory experience parameters. At a decoder side, the method includes: The decoder side obtains a to-be-processed picture, obtains a zoom-in operation instruction, obtains one or more groups of visual sensory experience parameters corresponding to one or more local pictures, and separately processes the corresponding local picture based on the one or more groups of visual sensory experience parameters to obtain a processed local picture.

Abstract: The technology of this application relates to a probe data processing method and a probe data encoding method, and an apparatus. The probe data processing method in this application includes obtaining a bitstream, parsing the bitstream to obtain first probe data in a current probe data group, where the first probe data corresponds to a non-linear domain signal, obtaining a conversion function parameter of the current probe data group, obtaining an inverse conversion function of the current probe data group based on the conversion function parameter of the current probe data group, and performing spatial inverse conversion on the first probe data according to the inverse conversion function to obtain second probe data in the current probe data group, where the second probe data corresponds to one or more probes in a three-dimensional scene, and the second probe data corresponds to a linear domain signal.

Abstract: An image processing method includes obtaining a target picture and an initial tone mapping curve of the target picture, determining a plurality of interpolation points based on luminance information and/or dynamic metadata of the target picture, and determining a spline function that passes through the plurality of interpolation points, where the spline function is smoothly connected to the initial tone mapping curve at at least one of the plurality of interpolation points the initial tone mapping curve is modified based on the spline function to obtain a modified tone mapping curve of the target picture; and tone mapping is performed on the target picture based on the modified tone mapping curve. This image processing apparatus enables a display device to vividly and realistically reproduce a scene in a real world.

Abstract: The present disclosure discloses an image processing method, apparatus, and a storage medium. The method includes: parsing an original bitstream of a to-be-processed image to obtain the to-be-processed image; parsing a first layered bitstream of the to-be-processed image to obtain a first layered image of the to-be-processed image; determining a second layered image of the to-be-processed image based on the to-be-processed image and the first layered image, where one of the first layered image and the second layered image is a base layer image, and the other of the first layered image and the second layered image is a detail layer image; performing tone mapping on the base layer image to obtain a mapping result of the base layer image; and fusing the mapping result of the base layer image and the detail layer image.

Abstract: An inter prediction method is provided, including: obtaining a first reference frame index and a first motion vector of a to-be-processed block (101); deriving a second reference frame index from the first reference frame index, where the second reference frame index is different from the first reference frame index (102); scaling the first motion vector to obtain a second motion vector (103); obtaining a first reference block of the to-be-processed block according to the first reference frame index and the first motion vector (104); obtaining a second reference block of the to-be-processed block according to the second reference frame index and the second motion vector (105); and weighting the first reference block and the second reference block to obtain a combined prediction block (106). Each reference list for inter prediction is allowed to include two groups of motion information, which helps improve an inter prediction effect.

Abstract: Embodiments of this application provide an image processing method and an electronic device, and relate to the field of image processing technologies. The method includes: obtaining display information of a to-be-displayed image at current target backlight luminance of a display and display information of the to-be-displayed image at luminance that is of the display and that is higher than the current target backlight luminance, and obtaining display information of the to-be-displayed image based on the two types of display information.

Abstract: A chrominance adjustment method and apparatus, and a storage medium are provided. The method includes: determining a color adjustment coefficient of a chrominance component of a color signal based on a reference display device maximum luminance value (RML) and/or a source maximum luminance value (SML); and adjusting the chrominance component of the color signal based on the color adjustment coefficient.

Abstract: An image processing method includes obtaining a target picture and an initial tone mapping curve of the target picture, determining a plurality of interpolation points based on luminance information and/or dynamic metadata of the target picture, and determining a spline function that passes through the plurality of interpolation points, where the spline function is smoothly connected to the initial tone mapping curve at at least one of the plurality of interpolation points the initial tone mapping curve is modified based on the spline function to obtain a modified tone mapping curve of the target picture; and tone mapping is performed on the target picture based on the modified tone mapping curve. This image processing apparatus enables a display device to vividly and realistically reproduce a scene in a real world.

Abstract: A dynamic range mapping method and apparatus for a panoramic video that relate to the field of video image processing are provided.

Abstract: Embodiments of this application provide a video encoding method, a video decoding method, and an apparatus. The video encoding apparatus may obtain source data, where the source data includes first high dynamic range HDR data and a first standard dynamic range SDR bitstream for same video data; map reconstructed data of the first SDR bitstream to second HDR data based on a correspondence between the reconstructed data of the first SDR bitstream and the first HDR data; determine a target residual value between the second HDR data and the first HDR data, where a bit width of the target residual value is less than or equal to a data bit width for encoding a first SDR video into the first SDR bitstream; encode the correspondence and the target residual value, to determine preset data; and transmit the first SDR bitstream to which the preset data is added.

Abstract: This application provides a tone mapping method including: obtaining a to-be-displayed image frame and metadata which includes at least one metadata information unit; segmenting the to-be-displayed image frame into a plurality of segmentation regions in a target segmentation manner, and determining a correspondence between the plurality of segmentation regions and the at least one metadata information unit; and for an ith pixel: determining, for a plurality of pixels included in a preset region, at least one related segmentation region to which the plurality of pixels belong, and determining a related metadata information unit corresponding to each related segmentation region; obtaining a tone mapping subvalue corresponding to the related segmentation region, and allocating a corresponding weighting factor to the related segmentation region; obtaining a tone mapping value based on the tone mapping subvalue and the weighting factor; and performing tone mapping based on the tone mapping value.

Abstract: This application provides a tone mapping method and apparatus for a panoramic image. The tone mapping method includes: determining one or more target metadata information units of a first pixel from a plurality of metadata information units, where the plurality of metadata information units are obtained by parsing a bitstream, the first pixel is any pixel in a to-be-processed panoramic video two-dimensional planar projection, the plurality of metadata information units correspond to a plurality of segmented regions included in a panoramic video three-dimensional spherical representation panoramic image, and there is a mapping relationship between the panoramic video two-dimensional planar projection and the panoramic video three-dimensional spherical representation panoramic image; and performing tone mapping on a pixel value of the first pixel based on the one or more target metadata information units, to obtain a target tone mapping value of the first pixel.

Abstract: Embodiments of this application relate to the video coding and compression field, and disclose an encoding method and apparatus, and a decoding method and apparatus, to resolve a problem that an existing split mode cannot satisfy a relatively complex texture requirement. The decoding method specifically includes: parsing a bitstream to determine a basic split mode for a current to-be-decoded picture block and a target derivation mode for a subpicture block of the current to-be-decoded picture block; splitting the current to-be-decoded picture block into N subpicture blocks in the basic split mode, where N is an integer greater than or equal to 2; deriving one derived picture block from at least two adjacent subpicture blocks in the N subpicture blocks in the target derivation mode; and decoding the derived picture block.

Abstract: This application relates to the field of image processing technologies, and discloses an image processing method and system, and a device, to resolve a problem that tone mapping greatly affects perception of a binocular 3D image. Based on a disparity map of a binocular image, a tone mapping curve is determined for a display device to display an image, instead of being generated merely based on image content. This makes a contrast of a tone mapped binocular image reach at least a level before tone mapping, thereby meeting a minimum disparity variation requirement for 3D perception by human eyes, and improving 3D perception of a 3D image displayed by the display device.

Abstract: A high dynamic range image processing method and apparatus, to improve a display effect of a high dynamic range image. The method includes: obtaining image information of a to-be-processed high dynamic range (HDR) image, the image information includes a maximum RGB component value of a first pixel corresponding to a first percentage and a maximum RGB component value of a second pixel corresponding to a second percentage; determining a maximum reference value of the HDR image; determining a maximum luminance modification value of the HDR image based on the maximum reference value and a plurality of preset hierarchy intervals, where the maximum luminance modification value is used to modify a largest value in maximum RGB component values of the plurality of pixels included in the HDR image; and adjusting a dynamic range of the HDR image based on the maximum luminance modification value.

Abstract: Tone mapping methods and apparatus provide for receipt by a backend device may of metadata and an HDR image from a frontend device and the generation of a mapping curve based on feature parameters of the mapping curve included in the metadata. Tone mapping on the HDR image can be performed based on the mapping curve. The feature parameters of the mapping curve are determined by the frontend device based on a luminance distribution status of the HDR image. In this way, the mapping curve parameters are determined based on the luminance distribution status of the HDR image so that design of the mapping curve is more flexible, and display effect of the HDR image can be effectively improved.

Abstract: This application provides an image dynamic range processing method and apparatus. The method includes: obtaining a first coordinate value of a first interpolation point and a first coordinate value of a third interpolation point related to a first cubic spline curve; and determining, based on histogram information of a first luminance interval of a to-be-processed image, a first coordinate value of a second interpolation point related to the first cubic spline curve. The first luminance interval is an interval between the first coordinate value of the first interpolation point and the first coordinate value of the third interpolation point. The first coordinate value of the first interpolation point, the first coordinate value of the second interpolation point, and the first coordinate value of the third interpolation point are used to determine a function of the first cubic spline curve.

Abstract: This application provides a dynamic range mapping method and apparatus. The dynamic range mapping method includes: obtaining a display parameter of a terminal device; obtaining feature information of image data; obtaining a first parameter of a first tone mapping curve of the image data; when a preset condition is met, obtaining a second parameter of a second tone mapping curve based on the first parameter, the display parameter of the terminal device, and the feature information of the image data, where output luminance at a first point on the second tone mapping curve is not greater than input luminance at the first point on the second tone mapping curve; and performing dynamic range mapping on the image data based on the second parameter of the second tone mapping curve.