USER INTERFACE AND GRAPHICS COMPOSITION WITH HIGH DYNAMIC RANGE VIDEO
    1.
    发明申请
    USER INTERFACE AND GRAPHICS COMPOSITION WITH HIGH DYNAMIC RANGE VIDEO 有权
    用户界面和图形组合与高动态范围视频

    公开(公告)号:US20150245004A1

    公开(公告)日:2015-08-27

    申请号:US14502373

    申请日:2014-09-30

    Applicant: Apple Inc.

    Abstract: A method and system for adaptively mixing video components with graphics/UI components, where the video components and graphics/UI components may be of different types, e.g., different dynamic ranges (such as HDR, SDR) and/or color gamut (such as WCG). The mixing may result in a frame optimized for a display device's color space, ambient conditions, viewing distance and angle, etc., while accounting for characteristics of the received data. The methods include receiving video and graphics/UI elements, converting the video to HDR and/or WCG, performing statistical analysis of received data and any additional applicable rendering information, and assembling a video frame with the received components based on the statistical analysis. The assembled video frame may be matched to a color space and displayed. The video data and graphics/UI data may have or be adjusted to have the same white point and/or primaries.

    Abstract translation: 一种用于将视频组件与图形/ UI组件自适应地混合的方法和系统,其中视频组件和图形/ UI组件可以是不同类型的,例如不同的动态范围(例如HDR,SDR)和/或色域(诸如 WCG)。 混合可能导致针对显示设备的颜色空间,环境条件,观看距离和角度等优化的框架,同时考虑接收到的数据的特性。 这些方法包括接收视频和图形/ UI元素,将视频转换为HDR和/或WCG,对所接收的数据和任何附加的可应用的呈现信息进行统计分析,以及基于统计分析与接收的组件组合视频帧。 组合的视频帧可以与颜色空间匹配并显示。 视频数据和图形/ UI数据可以具有或被调整为具有相同的白点和/或初级。

    REAL TIME DENOISING OF VIDEO
    3.
    发明申请
    REAL TIME DENOISING OF VIDEO 有权
    实时隐藏视频

    公开(公告)号:US20130329135A1

    公开(公告)日:2013-12-12

    申请号:US13631796

    申请日:2012-09-28

    Applicant: APPLE INC.

    Abstract: A video enhancement processing system improves perceptual quality of video data with limited processing complexity. The system may perform spatial denoising using filter weights that may vary based on estimated noise of an input image. Specifically, estimated noise of the input image may alter a search neighborhood over which the denoising filter operates, may alter a profile of weights to be applied based on pixel distances and may alter a profile of weights to be applied based on similarity of pixels for denoising processes. As such, the system finds application in consumer devices that perform such enhancement techniques in real time using general purpose processors such as CPUs or GPUs.

    Abstract translation: 视频增强处理系统以有限的处理复杂度提高视频数据的感知质量。 该系统可以使用可基于输入图像的估计噪声而变化的滤波器权重来执行空间去噪。 具体地,输入图像的估计噪声可以改变去噪滤波器操作的搜索邻域,可以基于像素距离改变要应用的权重的轮廓,并且可以基于用于去噪的像素的相似度来改变要应用的权重的轮廓 过程。 因此,该系统在使用诸如CPU或GPU的通用处理器实时地实现这种增强技术的消费者设备中发现应用。

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