Apple Inc.

Srivani Pinneli

Hao Sun

Farhan A Baqai

Richard David Seely

Gijesh Varghese

Wu Cheng

Morten Poulsen

Giancarlo Todone

Richard J Shields

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.

Subject-aware low light photography

Growing community of inventors

San Jose, CA, United States of America

Srivani Pinneli