Perceptual tone mapping of SDR images for an HDR display

    公开(公告)号:US10402952B2

    公开(公告)日:2019-09-03

    申请号:US15667099

    申请日:2017-08-02

    Applicant: Apple Inc.

    Abstract: Systems, methods, and computer readable media to improve the operation of electronic display systems. Techniques for inverse tone mapping operations for selected standard dynamic range (SDR) images are described. The converted images may be presented on high dynamic range (HDR) displays so as to increase a user's viewing experience (through an expanded dynamic range) while preserving the artistic content of the displayed information. Techniques disclosed herein selectively transform SDR images to HDR images by determining if the SDR images were created from HDR images (e.g., through the fusion of multiple SDR images) and if their quality is such as to permit the conversion without introducing unwanted visual artifacts. The proposed techniques apply a sigmoidal inverse tone mapping function configured to provide a perceptual-based tone mapping. Values for the function's tuning parameters may be set based on what may be determined about the original HDR-to-SDR mapping operation.

    Perceptual Tone Mapping of SDR Images for an HDR Display

    公开(公告)号:US20180350047A1

    公开(公告)日:2018-12-06

    申请号:US15667099

    申请日:2017-08-02

    Applicant: Apple Inc.

    Abstract: Systems, methods, and computer readable media to improve the operation of electronic display systems are disclosed. Techniques for inverse tone mapping operations for selected standard dynamic range (SDR) images are described. The converted images may be presented on high dynamic range (HDR) displays so as to increase a user's viewing experience (through an expanded dynamic range) while preserving the artistic content of the displayed information. Techniques disclosed herein selectively transform SDR images to HDR images by determining if the SDR images were created from HDR images (e.g., through the fusion of multiple SDR images) and if their quality is such as to permit the conversion without introducing unwanted visual artifacts. The proposed techniques apply a sigmoidal inverse tone mapping function configured to provide a perceptual-based tone mapping. Values for the function's tuning parameters may be set based on what may be determined about the original HDR-to-SDR mapping operation.

    Scene motion correction in fused image systems
    7.
    发明授权
    Scene motion correction in fused image systems 有权
    融合图像系统中的场景运动校正

    公开(公告)号:US09344636B2

    公开(公告)日:2016-05-17

    申请号:US14292562

    申请日:2014-05-30

    Applicant: Apple Inc.

    Abstract: Techniques to capture and fuse short- and long-exposure images of a scene from a stabilized image capture device are disclosed. More particularly, the disclosed techniques use not only individual pixel differences between co-captured short- and long-exposure images, but also the spatial structure of occluded regions in the long-exposure images (e.g., areas of the long-exposure image(s) exhibiting blur due to scene object motion). A novel device used to represent this feature of the long-exposure image is a “spatial difference map.” Spatial difference maps may be used to identify pixels in the short- and long-exposure images for fusion and, in one embodiment, may be used to identify pixels from the short-exposure image(s) to filter post-fusion so as to reduce visual discontinuities in the output image.

    Abstract translation: 公开了从稳定的图像捕获装置捕捉和融合场景的短曝光和长曝光图像的技术。 更具体地,所公开的技术不仅使用共同拍摄的短曝光图像和长曝光图像之间的单独像素差异,而且使用长曝光图像中的遮挡区域的空间结构(例如,长曝光图像的区域 )呈现由于场景物体运动造成的模糊)。 用于表示长曝光图像的该特征的新型装置是“空间差异图”。空间差异图可以用于识别用于融合的短曝光图像和长曝光图像中的像素,并且在一个实施例中可以是 用于识别来自短曝光图像的像素以过滤融合后的图像,以减少输出图像中的视觉不连续性。

    Reference Frame Selection for Still Image Stabilization
    8.
    发明申请
    Reference Frame Selection for Still Image Stabilization 有权
    静态图像稳定的参考帧选择

    公开(公告)号:US20140362256A1

    公开(公告)日:2014-12-11

    申请号:US13911873

    申请日:2013-06-06

    Applicant: Apple Inc.

    CPC classification number: H04N5/23277

    Abstract: Systems, methods, and computer readable media to improve image stabilization operations are described. A novel combination of image quality and commonality metrics are used to identify a reference frame from a set of commonly captured images which, when the set's other images are combined with it, results in a quality stabilized image. The disclosed image quality and commonality metrics may also be used to optimize the use of a limited amount of image buffer memory during image capture sequences that return more images that the memory may accommodate at one time. Image quality and commonality metrics may also be used to effect the combination of multiple relatively long-exposure images which, when combined with a one or more final (relatively) short-exposure images, yields images exhibiting motion-induced blurring in interesting and visually pleasing ways.

    Abstract translation: 描述了用于改善图像稳定操作的系统,方法和计算机可读介质。 使用图像质量和共性度量的新颖组合来从一组共同拍摄的图像中识别参考帧,当集合的其他图像与其组合时,其导致质量稳定的图像。 公开的图像质量和通用性度量还可以用于在图像捕获序列期间优化使用有限量的图像缓冲存储器,从而可以一次返回存储器可以容纳的更多图像。 图像质量和共性度量也可用于影响多个相对较长曝光图像的组合,当与一个或多个最终(相对)短曝光图像组合时,产生显示运动诱导的模糊的图像,其在有趣和视觉上令人满意 方法。

    Scene motion correction in fused image systems

    公开(公告)号:US10277820B2

    公开(公告)日:2019-04-30

    申请号:US16030632

    申请日:2018-07-09

    Applicant: Apple Inc.

    Abstract: Techniques to capture and fuse short- and long-exposure images of a scene from a stabilized image capture device are disclosed. More particularly, the disclosed techniques use not only individual pixel differences between co-captured short- and long-exposure images, but also the spatial structure of occluded regions in the long-exposure images (e.g., areas of the long-exposure image(s) exhibiting blur due to scene object motion). A novel device used to represent this feature of the long-exposure image is a “spatial difference map.” Spatial difference maps may be used to identify pixels in the short-and long-exposure images for fusion and, in one embodiment, may be used to identify pixels from the short-exposure image(s) to filter post-fusion so as to reduce visual discontinuities in the output image.

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