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公开(公告)号：US20180278913A1
公开(公告)日：2018-09-27
申请号：US15936275
申请日：2018-03-26
Applicant: Apple Inc.
Inventor： Ziv Attar , Paul M. Hubel , Ilana Volfin , Sebastien Marineau-Mes
IPC: H04N13/15 , H04N13/257 , H04N13/239 , H04N9/78 , H04N5/232 , H04N9/43
Abstract: Techniques are disclosed for capturing stereoscopic images using one or more high color density or “full color” image sensors and one or more low color density or “sparse color” image sensors. Low color density image sensors, may include substantially fewer color pixels than the sensor's total number of pixels, as well as fewer color pixels than the total number of color pixels on the full color image sensor. More particularly, the mostly-monochrome image captured by the low color density image sensor may be used to reduce noise and increase the spatial resolution of an imaging system's output image. In addition, the color pixels present in the low color density image sensor may be used to identify and fill in color pixel values, e.g., for regions occluded in the image captured using the full color image sensor. Optical Image Stabilization and/or split photodiodes may be employed on one or more sensors.
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公开(公告)号：US10531067B2
公开(公告)日：2020-01-07
申请号：US15936275
申请日：2018-03-26
Applicant: Apple Inc.
Inventor： Ziv Attar , Paul M. Hubel , Ilana Volfin , Sebastien Marineau-Mes
Abstract: Techniques are disclosed for capturing stereoscopic images using one or more high color density or “full color” image sensors and one or more low color density or “sparse color” image sensors. Low color density image sensors, may include substantially fewer color pixels than the sensor's total number of pixels, as well as fewer color pixels than the total number of color pixels on the full color image sensor. More particularly, the mostly-monochrome image captured by the low color density image sensor may be used to reduce noise and increase the spatial resolution of an imaging system's output image. In addition, the color pixels present in the low color density image sensor may be used to identify and fill in color pixel values, e.g., for regions occluded in the image captured using the full color image sensor. Optical Image Stabilization and/or split photodiodes may be employed on one or more sensors.
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公开(公告)号：US20250086948A1
公开(公告)日：2025-03-13
申请号：US18793235
申请日：2024-08-02
Applicant: Apple Inc.
Inventor： Jade O. Hayat , Ilana Volfin , Stefan Weber , Liang Mi , Zahra Sadeghipoor Kermani , Alexis Gatt , Nizar Khalfaoui , Mohit Setia , Johnnie B. Manzari
IPC: G06V10/776 , G06V10/25
Abstract: This disclosure describes techniques for performing automatic synthetic shallow depth of field (SDOF) or so-called “portrait mode” suggestions for digital image capture. In particular, these techniques aim to solve the problem of letting users of digital image capture devices know when to turn on portrait image capture modes to capture aesthetically pleasing images. If, based on the application certain criteria, a currently-composed scene is detected to be “portrait worthy,” an icon or other indicator may be provided, e.g., on a user interface of the digital image capture device. According to some embodiments, once a scene has been determined to be portrait worthy, the digital image capture device may capture a subsequent image(s) with at least one additional data asset needed to render a captured image in a synthetic SDOF or portrait mode. This will allow users to convert their digital images into portrait mode images via digital image post-processing operations.
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公开(公告)号：US20180070007A1
公开(公告)日：2018-03-08
申请号：US15697224
申请日：2017-09-06
Applicant: Apple Inc.
Inventor： Claus Molgaard , Paul M. Hubel , Ziv Attar , Ilana Volfin
CPC classification number: H04N5/23216 , G06K9/00201 , G06K9/00248 , G06K9/3233 , G06K9/38 , G06K9/46 , G06T7/50 , G06T2207/10028 , H04N5/23219
Abstract: Techniques are described for automated analysis and filtering of image data. Image data is analyzed to identify regions of interest (ROIs) within the image content. The image data also may have depth estimates applied to content therein. One or more of the ROIs may be designated to possess a base depth, representing a depth of image content against which depths of other content may be compared. Moreover, the depth of the image content within a spatial area of an ROI may be set to be a consistent value, regardless of depth estimates that may have been assigned from other sources. Thereafter, other elements of image content may be assigned content adjustment values in gradients based on their relative depth in image content as compared to the base depth and, optionally, based on their spatial distance from the designated ROI. Image content may be adjusted based on the content adjustment values.
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