Samsung Electronics Co., Ltd.

Chang Su

Chenguang Liu

Pradeep Nagesh

Li Tao

Joonsoo Kim

Kamal Jnawali

Yeong-Taeg Kim

William Mandel

Soojung Hyun

Dung Trung Vo

McClain C Nelson

Madhu Athreya

One embodiment provides a method comprising receiving an input content, and receiving ambient contextual data indicative of one or more ambient lighting conditions of an environment including a display device. The input content has corresponding metadata that at least partially represents a creative intent indicative of how the input content is intended to be viewed. The method further comprises adaptively correcting the input content based on the ambient contextual data to preserve the creative intent, and providing the corrected input content to the display device for presentation. The adaptively correcting comprises applying automatic white balancing to the input content to correct color tone of the input content.

Content creative intention preservation under various ambient color temperatures

One embodiment provides a computer-implemented method that includes receiving an input image associated with a media content item. The input image includes a luminance-reduced region. One or more luminance values are obtained for a channel obtained using the input image. One or more luminance profiles of a color spectrum are generated using the one or more luminance values. Based on a visual perception effect process that is based on the one or more luminance profiles, colors associated with the luminance-reduced region are enhanced. On a display device, displaying at least the luminance-reduced region with the colors enhanced based on the visual perception effect process based on the one or more luminance profiles.

Perceptual color recovery for luminance reduced displays with burn-in protection

One embodiment provides a computer-implemented method that includes providing a dynamic list structure that stores one or more detected object bounding boxes. Temporal analysis is applied that updates the dynamic list structure with object validation to reduce temporal artifacts. A two-dimensional (2D) buffer is utilized to store a luminance reduction ratio of a whole video frame. The luminance reduction ratio is applied to each pixel in the whole video frame based on the 2D buffer. One or more spatial smoothing filters are applied to the 2D buffer to reduce a likelihood of one or more spatial artifacts occurring in a luminance reduced region.

Self-emitting display (SED) burn-in prevention based on stationary luminance reduction

A method includes modeling, by a computing device, color saturation variations of different hues in a working color space with one or more properties of responses of a human vision system (HVS) to color stimulus. The computing device further generates one or more color saturation variation models based on the responses of the HVS to color stimulus.

Perceptual color enhancement based on properties of responses of human vision system to color stimulus

One embodiment provides a method comprising determining a first representation of a source gamut of an input content in a first (2D) device-independent color space, determining a second representation of a target gamut of a display device in a second 2D device-independent color space, and determining a color transition protection zone (TPZ) based on the source gamut and the target gamut. The method further comprises utilizing a color gamut mapping (CGM) module to perform, based on the TPZ, linear color gamut compression from the first 2D device-independent color space to the second 2D device-independent color space if the target gamut is narrower than the source gamut. The method further comprises utilizing the same CGM module to perform, based on the TPZ, linear color gamut extension from the first 2D device-independent color space to the second 2D device-independent color space if the target gamut is wider than the source gamut.

Color gamut compression and extension

One embodiment provides a computer-implemented method that includes receiving region information from a stationary region detection process for a video. A processor performs a flat region ghosting artifact removal process that updates the region information with a flat region indicator utilizing the region information and the video. The processor further performs a region based luminance reduction process utilizing the updated region information with the flat region indicator for display ghosting artifact removal and burn-in protection.

Organic light emitting diode (OLED) burn-in prevention based on stationary pixel and luminance reduction

One embodiment provides a method comprising determining one or more coordinates representing one or more skin tones in a device-independent color space. The one or more skin tones can include one or more colors of human skin captured in one or more pieces of content. The method further comprises building a dual-core geometric model based on a distribution of the one or more skin tones in the device-independent color space. The method further comprises providing the dual-core geometric model to an electronic device for use in determining a likelihood that an input color of an input content is a skin tone. The input content is adaptively enhanced, based on the likelihood, for presentation on a display connected to the electronic device.

Skin tone protection using a dual-core geometric skin tone model built in device-independent space

One embodiment provides a method comprising determining a first representation of a source gamut of an input content in a first two-dimensional (2D) device-independent color space, determining a second representation of a target gamut of a display device in a second 2D device-independent color space, and determining a color transition protection zone (TPZ) based on the source gamut and the target gamut. The method further comprises utilizing a color gamut mapping (CGM) module to perform, based on the TPZ, linear color gamut compression from the first 2D device-independent color space to the second 2D device-independent color space if the target gamut is narrower than the source gamut. The method further comprises utilizing the same CGM module to perform, based on the TPZ, linear color gamut extension from the first 2D device-independent color space to the second 2D device-independent color space if the target gamut is wider than the source gamut.

A method includes determining, by a computing device, a working color space of a source content and a resulting content. The computing device models color saturation variations of different hues in the working color space with one or more properties of responses of a human vision system (HVS) to color stimulus. The computing device generates one or more color saturation variation models based on the responses of the HVS to color stimulus. An input color is mapped from the source content to an output color in the working color space using the one or more color saturation variation models.

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 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 display system is configured to convert Full-High Definition (FHD) image content into Ultra-High Definition (UHD) image content. The display system includes an interface configured to receive image content comprising a first resolution, such as FHD. The display system also includes a display device configured to display image content at a second resolution, such as UHD, the second resolution greater than the first resolution. The display system further includes one or more processors configured to: convert the image content from the first resolution to the second resolution; recover a spatial frequency of the converted image content as a function of a relative edge growth rate measured from the converted image content and an offline-determined relationship between the relative edge growth rates of the converted first image and its corresponding ground truth image; and provide the converted image content with the recovered spatial frequency to the display device.

Image up-sampling with relative edge growth rate priors

A display system converts Full-High Definition (FHD) image content into Ultra-High Definition (UHD) image content. The display system includes an interface that provides image content to a display having a first resolution. The display system also includes a processor that converts an input image from a second resolution to the first resolution. The first resolution is greater than the second resolution. The processor generates a first value corresponding to a lost high-frequency component (HFC) of the input image; generates an initial component of an output image; selects a patch of the input image; estimates a lost HFC of the patch of the initial component based on a portion of the lost HFC of the input image that corresponds to the selected patch; and generates the output image based on a sum of the patch of the initial component and the estimated lost HFC of the patch of the initial component.

Growing community of inventors

Foothill Ranch, CA, United States of America

Chang Su