Highlight Exposure Metric And Its Applications
    22.
    发明申请
    Highlight Exposure Metric And Its Applications 有权
    突出暴露指标及其应用

    公开(公告)号:US20150350512A1

    公开(公告)日:2015-12-03

    申请号:US14292791

    申请日:2014-05-30

    Applicant: Apple Inc.

    Abstract: Systems, methods, and computer readable media for the use of a metric whose value is especially sensitive to the information lost when an image's pixels are clipped are disclosed. The metric may be used as an image's score, where higher values are indicative of lost highlight information (more clipped pixels). One use of the disclosed metric would be to determine when the use of high dynamic range (HDR) techniques are appropriate. The disclosed metric may also be used to bias a scene's exposure value (EV) such as to a lower or underexposed value (EV−) so that the scene may be captured with no more than an acceptable number of clipped pixels.

    Abstract translation: 公开了使用度量的系统,方法和计算机可读介质,其度量对于在图像的像素被裁剪时丢失的信息特别敏感。 度量可以用作图像的分数,其中较高的值表示丢失的高亮度信息(更多的剪切的像素)。 所公开的度量的一个用途将是确定何时使用高动态范围(HDR)技术是适当的。 所公开的度量还可以用于将场景的曝光值(EV)偏移到较低或曝光不足的值(EV-),使得可以以不超过可接受数量的限幅像素捕获场景。

    Non-Linear Timelapse Videos Based on Multi-Temporal Scale Detection of Scene Content Change

    公开(公告)号:US20240106976A1

    公开(公告)日:2024-03-28

    申请号:US17934849

    申请日:2022-09-23

    Applicant: Apple Inc.

    CPC classification number: H04N5/783 G06T5/002 G06T5/40 G06V10/761

    Abstract: Devices, methods, and non-transitory program storage devices are disclosed herein to perform intelligent determinations of non-linear (i.e., dynamic) image recording rates for the production of improved timelapse videos. The techniques described herein may be especially applicable to timelapse videos captured over long durations of time and/or with varying amounts of device motion/scene content change over the course of the captured video (e.g., when a user is walking, exercising, driving, etc. during the video's capture). By smoothly varying the image recording rate of the timelapse video in accordance with multi-temporal scale estimates of scene content change, the quality of the produced timelapse video may be improved (e.g., fewer long stretches of the video with too little action, as well as fewer stretches of the video where there is so much rapid action in the timelapse video that it is difficult for a viewer to perceive what is happening in the video).

    Region-of-interest biased tone mapping

    公开(公告)号:US09892494B2

    公开(公告)日:2018-02-13

    申请号:US14614568

    申请日:2015-02-05

    Applicant: Apple Inc.

    CPC classification number: G06T5/007 G06T5/40 G06T2207/20016

    Abstract: Methods, devices and computer readable instructions to generate region-of-interest (ROI) tone curves are disclosed. One method includes obtaining a statistic for an entire image such as, for example, a luminance statistic. The same statistic may then be found for a specified ROI of the image. A weighted combination of the statistic of the entire image and the statistic of the ROI yields a combined statistic which may then be converted to a ROI-biased tone curve. The weight used to combine the two statistics may be selected to emphasize or de-emphasize the role of the ROI's statistic in the final tone curve.

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