Patents by Inventor Morten Poulsen
Morten Poulsen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11570374Abstract: Devices, methods, and computer-readable media are disclosed, describing an adaptive, subject-aware approach for image bracket selection and fusion, e.g., to generate high quality images in a wide variety of capturing conditions, including low light conditions. An incoming image stream may be obtained from an image capture device, comprising images captured using differing default exposure values, e.g., according to a predetermined pattern. When a capture request is received, it may be detected whether one or more human or animal subjects are present in the incoming image stream. If a subject is detected, an exposure time of one or more images selected from the incoming image stream may be reduced relative to its default exposure time. Prior to the fusion operation, one of the selected images may be designated a reference image for the fusion operation based, at least in part, on a sharpness score and/or a blink score of the image.Type: GrantFiled: June 24, 2021Date of Patent: January 31, 2023Assignee: Apple Inc.Inventors: Hao Sun, Farhan A. Baqai, Giancarlo Todone, Gijesh Varghese, Morten Poulsen, Richard D. Seely, Richard J. Shields, Srivani Pinneli, Wu Cheng
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Patent number: 11562470Abstract: Devices, methods, and computer-readable media are disclosed describing an adaptive approach for image bracket selection and fusion, e.g., to generate low noise and high dynamic range (HDR) images in a wide variety of capturing conditions. An incoming image stream may be obtained from an image capture device, wherein the incoming image stream comprises a variety of differently-exposed captures, e.g., EV0 images, EV? images, EV+ images, long exposure (or synthetic long exposure) images, EV0/EV? image pairs, etc., which are received according to a particular pattern. When a capture request is received, a set of rules and/or a decision tree may be used to evaluate one or more capture conditions associated with the images from the incoming image stream and determine which two or more images to select for a fusion operation. A noise reduction process may optionally be performed on the selected images before (or after) the registration and fusion operations.Type: GrantFiled: April 7, 2021Date of Patent: January 24, 2023Assignee: Apple IncInventors: Marius Tico, Alok Deshpande, Anita Nariani Schulze, Hao Sun, Jun Hu, Justin Michael Faryabi-Allen, Morten Poulsen, Tak Shing Wong, Wu Cheng
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Patent number: 11212449Abstract: The present disclosure generally relates to user interface for capturing and managing media (e.g., photo media, video media). In some examples, user interfaces for capturing media (e.g., photo media, video media) are described. In some examples, user interfaces for displaying camera controls and indicators are described. In some examples, user interfaces for adjusting media (e.g., photo media (e.g., a sequence of images, a single image), video media) are described. In some examples, user interfaces for managing the file format of media (e.g., photo, video media) are described. In some examples, user interfaces for storing media (photo media (e.g., a sequences of image, a single still image), video media) are described.Type: GrantFiled: April 1, 2021Date of Patent: December 28, 2021Assignee: Apple Inc.Inventors: Behkish J. Manzari, Morten Poulsen, Richard John Henry Shields, Nicholas D. Lupinetti
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Patent number: 11113802Abstract: An adaptive approach to image bracket determination and a more memory-efficient approach to image fusion, which are designed to generate low noise and high dynamic range (HDR) images in a wide variety of capturing conditions, are described. An incoming preview image stream may be obtained from an image capture device. When a capture request is received, an analysis may be performed on an image from the preview image stream that has a predetermined temporal relationship to the image capture request. Based on the analysis, a set of images (and their respective capture parameters, e.g., exposure time) may be determined for the image capture device to capture. As the determined set of images are captured, they may be registered and fused in a memory-efficient manner that, e.g., places an upper limit on the overall memory footprint of the registration and fusion operations—regardless of how many images are captured in total.Type: GrantFiled: September 9, 2019Date of Patent: September 7, 2021Assignee: Apple Inc.Inventors: Hao Sun, Giancarlo Todone, Farhan A. Baqai, Gijesh Varghese, Morten Poulsen
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Publication number: 20210256669Abstract: Devices, methods, and computer-readable media are disclosed describing an adaptive approach for image bracket selection and fusion, e.g., to generate low noise and high dynamic range (HDR) images in a wide variety of capturing conditions. An incoming image stream may be obtained from an image capture device, wherein the incoming image stream comprises a variety of differently-exposed captures, e.g., EV0 images, EV? images, EV+ images, long exposure (or synthetic long exposure) images, EV0/EV? image pairs, etc., which are received according to a particular pattern. When a capture request is received, a set of rules and/or a decision tree may be used to evaluate one or more capture conditions associated with the images from the incoming image stream and determine which two or more images to select for a fusion operation. A noise reduction process may optionally be performed on the selected images before (or after) the registration and fusion operations.Type: ApplicationFiled: April 7, 2021Publication date: August 19, 2021Inventors: Marius Tico, Alok Deshpande, Anita Nariani Schulze, Hao Sun, Jun Hu, Justin Michael Faryabi-Allen, Morten Poulsen, Tak Shing Wong, Wu Cheng
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Patent number: 10977778Abstract: Devices, methods, and computer-readable media are disclosed describing an adaptive approach for image bracket selection and fusion, e.g., to generate low noise and high dynamic range (HDR) images in a wide variety of capturing conditions. An incoming image stream may be obtained from an image capture device, wherein the incoming image stream comprises a variety of differently-exposed captures, e.g., EV0 images, EV? images, EV+ images, long exposure (or synthetic long exposure) images, EV0/EV? image pairs, etc., which are received according to a particular pattern. When a capture request is received, a set of rules and/or a decision tree may be used to evaluate one or more capture conditions associated with the images from the incoming image stream and determine which two or more images to select for a fusion operation. A noise reduction process may optionally be performed on the selected images before (or after) the registration and fusion operations.Type: GrantFiled: May 30, 2019Date of Patent: April 13, 2021Assignee: Apple Inc.Inventors: Marius Tico, Alok Deshpande, Anita Nariani Schulze, Hao Sun, Jun Hu, Justin Michael Faryabi-Allen, Morten Poulsen, Tak Shing Wong, Wu Cheng
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Publication number: 20190370948Abstract: Devices, methods, and computer-readable media are disclosed describing an adaptive approach for image bracket selection and fusion, e.g., to generate low noise and high dynamic range (HDR) images in a wide variety of capturing conditions. An incoming image stream may be obtained from an image capture device, wherein the incoming image stream comprises a variety of differently-exposed captures, e.g., EV0 images, EV? images, EV+ images, long exposure (or synthetic long exposure) images, EV0/EV? image pairs, etc., which are received according to a particular pattern. When a capture request is received, a set of rules and/or a decision tree may be used to evaluate one or more capture conditions associated with the images from the incoming image stream and determine which two or more images to select for a fusion operation. A noise reduction process may optionally be performed on the selected images before (or after) the registration and fusion operations.Type: ApplicationFiled: May 30, 2019Publication date: December 5, 2019Inventors: Marius Tico, Alok Deshpande, Anita Nariani Schulze, Hao Sun, Jun Hu, Justin Michael Faryabi-Allen, Morten Poulsen, Tak Shing Wong, Wu Cheng