Apple Inc.

Hewlett-packard Development Company, L.p.

Hewlett-packard Company

Other

Foveon, Inc.

Paul M Hubel

Marius Tico

Rolf Toft

Claus Molgaard

Todd Stephen Sachs

K Douglas Gennetten

Alan C Dye

Craig Michael Federighi

Andre Souza Dos Santos

William A Sorrentino, Iii

Grant R Paul

Behkish J Manzari

Donald J Stavely

Jianping Zhou

Farhan A Baqai

Frank Doepke

David Kay Campbell

Nicolas P Bonnier

Charles H McConica

Richard B Merrill

Richard Francis Lyon

Ting Chen

Garrett M Johnson

Xuemei Zhang

Yingjun Bai

Graham D Finlayson

Noah Denis Bedard

Imran A Chaudhri

Gregory N Christie

Scott James Forstall

Richard R Dellinger

David Douglas Bohn

Guy Cote

Lee S Broughton

Ralph T Brunner

Kent D Vincent

Richard Lawrence Baer

Ricardo Jansson Motta

Gerd O Mueller

Sumit Chawla

Daniel Trent Preston

Jiaying Wu

Rudolph Van Der Merwe

Regina B Mueller-Mach

Florian Ciurea

David W Boyd

M Evans Hankey

Scott Thomas Smith

Marco Zuliani

Jeffrey E Frederiksen

Wei Sun

Jason Klivington

Lukas Robert Tom Girling

Mark D Seaman

Alok Deshpande

Jonathan Ian McCormack

Nicholas D Lupinetti

Anita Nariani Schulze

Bosheng Zhang

Angelo M Alaimo

Susan Hunter

George E Williams

Frederic C Amerson

Kathrin Berkner Cieslicki

Bryan Dang

Ziv Attar

Claus Moelgaard

Robert W G Hunt

Daniel M Esquibel

Sebastien Marineau-Mes

Ilana Volfin

Irwin E Sobel

Kirt Alan Winter

Alex Tremain Nelson

Ilya Romanenko

Richard M Turner

Charles A Mezak

Frederic Cao

Douglas P Mitchell

Teun R Baar

Fabio Riccardi

Damien J Thivent

Arwen V Bradley

John J McCann

David C Beard

Xiaoxing Li

Kenneth D Gennetten

Yongfang Liang

Ahmed Tashrif Kamal

Russell A Pflughaupt

Cindy Y Sansom-Wai

Edward T Chang

Juanqing Chen

Zahra Sadeghipoor Kermani

Wayne G Phillips

Jason P De Villiers

Tongbo Chen

Mark O Bagula

Steven D Hordley

Graham Finlayson

Embodiments disclosed herein are directed to devices and methods for performing spatially-varying brightness correction of a flash image. The spatially-varying brightness correction utilizes a set of images that includes one or more images captured under flash illumination and one or more images captured without flash illumination, which are used to decompose one of the flash images or an image generated therefrom into a flash contribution image and an ambient contribution image. The flash contribution image and the ambient contribution image are recombined to generate a corrected flash image, and information about the flash module and/or scene is used to adjust the relative contributions of these images during recombination.

Techniques for correcting images in flash photography

A light source module includes an array of illumination elements and an optional projecting lens. The light source module is configured to receive or generate a control signal for adjusting different ones of the illumination elements to control a light field emitted from the light source module. In some embodiments, the light source module is also configured to adjust the projecting lens responsive to objects in an illuminated scene and a field of view of an imaging device. A controller for a light source module may determine a light field pattern based on various parameters including a field of view of an imaging device, an illumination sensitivity model of the imaging device, depth, ambient illumination and reflectivity of objects, configured illumination priorities including ambient preservation, background illumination and direct/indirect lighting balance, and so forth.

Adaptive-flash photography, videography, and/or flashlight using camera, scene, or user input parameters

Devices, methods, and program storage devices for creating and/or displaying backwards-compatible High Dynamic Range (HDR) images are disclosed, comprising: obtaining two or more exposures of a scene; creating a gain map based on at least one of the two or more exposures, wherein the gain map comprises a plurality of pixels each corresponding to a portion of the scene, and wherein values of the pixels in the gain map comprise indications of a brightness level of the corresponding portions of the scene; combining the two or more exposures to form a first image; tone mapping the first image based on a Standard Dynamic Range (SDR) format to generate a first SDR image of the scene; and storing the first SDR image and created gain map in a first enhanced image file. The first enhanced image file may be, e.g., a HEIF, HEIC, PNG, GIF, JPEG, or other suitable file format.

Backwards-compatible high dynamic range (HDR) images

Media user interfaces are described, including user interfaces for accessing media controls or settings (e.g., accessing controls and/or settings to capture photos and/or videos to capture videos).

User interfaces for capturing and managing visual media

Techniques are disclosed for managing image capture and processing in a multi-camera imaging system. In such a system, a pair of cameras each may output a sequence of frames representing captured image data. The cameras' output may be synchronized to each other to cause synchronism in the image capture operations of the cameras. The system may assess image quality of frames output from the cameras and, based on the image quality, designate a pair of the frames to serve as a 'reference frame pair.' Thus, one frame from the first camera and a paired frame from the second camera will be designated as the reference frame pair. The system may adjust each reference frame in the pair using other frames from their respective cameras. The reference frames also may be processed by other operations within the system, such as image fusion.

Still image stabilization/optical image stabilization synchronization in multi-camera image capture

Electronic devices, computer readable storage media, and related methods are disclosed herein that are configured to stitch together images captured by multiple image capture devices of an image capture system. In particular, various techniques are employed to intelligently extend (and, optionally, smooth) the correspondence mapping between first and second images captured by image capture devices having different fields of view, e.g., fields of view that are at least partially overlapping and at least partially non-overlapping. The techniques may also include determining a 'transitional' correspondence in a transitional region between the overlapping and non-overlapping regions of the fields of view, as well as performing one or more appearance correction operations to account for the different properties of the different image capture devices used to capture the first and second images. The techniques described herein may be employed to produce enhanced output images in either the still image or the video context.

Field of view extension in a stereo camera system

Media user interfaces are described, including user interfaces for capturing media (e.g., capturing a photo, recording a video), displaying media (e.g., displaying a photo, playing a video), editing media (e.g., modifying a photo, modifying a video), accessing media controls or settings (e.g., accessing controls or settings to capture photos or videos to capture videos), and automatically adjusting media (e.g., automatically modifying a photo, automatically modifying a video).

In various implementations a method includes obtaining a plurality of source images, stabilizing the plurality of source images to generate a plurality of stabilized images, and averaging the plurality of stabilized image to generate a synthetic long exposure image. In various implementations, stabilizing the plurality of source images includes: selecting one of the plurality of source images to serve as a reference frame; and registering others of the plurality of source images to the reference frame by applying a perspective transformation to others of the plurality of the source images.

Synthetic long exposure image with optional enhancement using a guide image

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.

Image adjustments based on depth of field estimations

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.

Enhancing spatial resolution in a stereo camera imaging system

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.

Scene motion correction in fused image systems

Growing community of inventors

Mt. View, CA, United States of America

Paul M Hubel