Samsung Electronics Co., Ltd.

Other

Yeong-Taeg Kim

Zhi Zhou

Li Tao

Ning Xu

Surapong Lertrattanapanich

Xianglin Wang

Peng Lin

Sangkeun Lee

Mahesh Chappalli

Pradeep Nagesh

Chenguang Liu

Hunsop Hong

Shin-Haeng Kim

Chang Su

Shan Liu

Victor Hyeong-Seok Ha

Yoon Kyung Kim

Gonzalo R Arce

Soojung Hyun

Seongnam Oh

Seong-joo Lee

Myeong-Hwan Lee

Lee Sangkeun

A method, apparatus, and non-transitory computer readable medium for video tone mapping. The method includes a target display receiving a quantized video generated by a master display, the quantized video being mastered for a first range of luminance values associated with the master display; receiving metadata from a tone mapping curve parameter extraction, the metadata comprising at least one maximum value of a luminance parameter of the quantized video as mastered for the first range of luminance values; and de-quantizing the quantized video to produce a de-quantized video. The method also includes at least one processor of the target display applying a tone mapping function defined by a normalized Bezier curve to the de-quantized video; and generating, based on applying the tone mapping function, a tone mapped video mastered for a second range of luminance values associated with the target display.

HDR tone mapping methods with scene adaptive parameterized tone map function

One embodiment provides a method comprising determining a target color gamut of a display device, an inner zone of the target color gamut, and an outer zone of the target color gamut. The method further comprises dynamically determining, based on the inner zone and the outer zone, a path along which an input color in a source color gamut of an input content moves. The input color is outside the inner zone. The method further comprises mapping the input color from the source color gamut to an output color in the outer zone based on the path. The input color is rendered as the output color during presentation of the input content on the display device.

Color gamut mapping in the CIE 1931 color space

A method, apparatus, and non-transitory computer readable medium for video tone mapping. The method includes receiving the video and determining parameters of a tone mapping function defined by a Bezier curve for processing the video. The method also includes generating, by at least one processor, a tone mapped video by applying the tone mapping function to the video using the determined parameters.

A method comprising receiving an input video signal comprising high dynamic range (HDR) video for presentation on a display device, and receiving metadata for the input video signal. The metadata comprises a first Bezier curve for tone mapping of the HDR video that fits a first peak luminance level. The method further comprises adjusting the first Bezier curve to a second Bezier curve for tone mapping of the HDR video that fits a second peak luminance level. The display device has the second peak luminance level, and the second peak luminance level is different from the first peak luminance level. The method further comprises producing a tone mapped video signal of the input video signal utilizing the second Bezier curve. The tone mapped video signal is provided to the display device for presentation.

Guided tone mapping of high dynamic range video based on a Bezier curve for presentation on a display device

A perceptual hue preserved (PHP) color gamut transferring (CGT) method carried out in CIE-1931 color space includes obtaining a target gamut based on a rendering device of a content. Multiple color-moving constraints (CMC) are retrieved from a dataset. Perceptually consistent hue loci (PCHL) of out-of-gamut (OOG) colors of the content are estimated according to the CMC and a protection zone boundary. Each of the OOG colors are moved along its PCHL to a final point inside the target gamut based on a CGT plan data. The CGT plan data includes target and source boundary information formed using the CMC and the protection zone boundary.

Perceptual hue preserved color-gamut transferring in non-uniform CIE-1931 color space

A method for video tone mapping includes receiving an overlay indication from an input data stream indicating whether a graphic is being overlaid on image data for a High Dynamic Range (HDR) scene. Based on the overlay indication, a hardware processor processes a video stream using a first tone mapping function to generate a first tone mapped video, or a second tone mapping function to generate a second tone mapped video.

Adaptive high dynamic range (HDR) tone mapping with overlay indication

A method, apparatus, and computer-readable medium for video tone mapping. The method includes processing video data into a first video component and a second video component and applying tone mapping to the first video component. The method further includes scaling the second video component. The method further includes generating a tone mapped video by combining the tone-mapped first video component with the scaled second video component.

Dual band adaptive tone mapping

A method for tone mapping includes configuring, by at least one processor, at least one tone mapping function based on a measure of a distribution of luminance values within video data. The measure of a distribution of luminance values represents a luminance level at which a predetermined percentage of pixels of the video data have luminance values satisfying a threshold condition. The method includes generating a tone mapped video by applying the at least one configured tone mapping function to the video data.

Distribution-point-based adaptive tone mapping

A method for tone mapping includes applying, by at least one processor, at least two tone mapping functions to video data. The at least two tone mapping functions include a first tone mapping function and a second tone mapping function, such as a high tone mapping function and a low tone mapping function that provides an output having more illumination range to low luminance values of the video data than an output that the high tone mapping function provides. The method includes determining a mixing ratio based on an amount of the video data that has luminance values within a predetermined range. The mixing ratio represents a proportion of each of output of the at least two tone mapping functions. The method includes mixing the outputs of the at least two tone mapping functions according to the mixing ratio to generate the tone mapped video.

Tonal-zone adaptive tone mapping

A method, apparatus, and non-transitory computer readable medium for video tone mapping. The method includes receiving the video and metadata at least partially representative of a global tone mapping function. The method further includes determining the global tone mapping function based at least on the metadata and a characteristic of the display and generating a tone mapped video by applying the global tone mapping function to the video and using the peak luminance value of the display in the application of the global tone mapping function.

Tone mastering system with creative intent metadata

A method, apparatus, and non-transitory computer readable medium for video tone mapping. The method includes processing a video using at least first and second tone mapping functions to generate at least first and second tone mapped videos and identifying an amount of local contrast in one or more areas of each of the at least first and second tone mapped videos. The method further includes determining an amount of each of the at least first and second tone mapped videos to include in an output tone mapped video based at least in part on comparison of the identified amount of local contrast for each of the at least first and second tone mapped videos and generating the output tone mapped video in accordance with the determined amount of each of the at least first and second tone mapped videos.

Adaptive tone mapping based on local contrast

A method, apparatus, and computer readable medium for frame rate conversion based on object tracking. The method includes determining whether a block of a first frame of an input video stream corresponds to a detected object region or a non-object region. The method further includes selecting a motion estimation operation from a group of operations comprising an object tracking operation based at least on the determining of whether the block of the first frame corresponds to the detected object region or the non-object region. The method further includes determining a motion vector of the block by performing the selected motion estimation operation and determining an interpolated frame based at least on the determined motion vector and the first frame and a second frame of the input video stream.

Frame rate conversion based on object tracking

Image details are created for an image. An image is processed to obtain image information. Detected texture samples are processed to obtain texture information. A processor device is used for transforming received image information for obtaining frequency domain information. The texture information is used for determining a lifting factor. A frequency distribution is determined for the frequency domain information using the lifting factor for creating particular frequency. An inverse transformation is performed on an updated frequency distribution for creating output image blocks. The output image blocks are combined to create image details for a lifted image. The lifted image is mixed with the image.

Creating details in an image with adaptive frequency lifting

Input image information is received. A processor device is used for determining enhancement information based on frequency characteristics and edge information of the input image information. The enhancement information is mixed with the input image information to generate an enhanced image.

Creating details in an image with adaptive frequency strength controlled transform

Input image information is received. Enhancement information is determined based on frequency characteristics of the input image information. The enhancement information is mixed with the input image information to generate an enhanced image.

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Irvine, CA, United States of America

Yeong-Taeg Kim