Apple Inc.

Justin Michael Faryabi-Allen

Hao Sun

Marius Tico

Alok Deshpande

Wu Cheng

Jun Hu

Anita Nariani Schulze

Morten Poulsen

Tak Shing Wong

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&#x2212; images, EV+ images, long exposure (or synthetic long exposure) images, EV0/EV&#x2212; 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.

Unified bracketing approach for imaging

Growing community of inventors

San Francisco, CA, United States of America

Justin Michael Faryabi-Allen