Multi-exposure imaging on mobile devices (demo)

  • Authors:
  • Natasha Gelfand;Andrew Adams;Sung Hee Park;Kari Pulli

  • Affiliations:
  • Nokia Research, Palo Alto, CA, USA;Stanford University, Stanford, CA, USA;Stanford University, Stanford, CA, USA;Nokia Research, Palo Alto, CA, USA

  • Venue:
  • Proceedings of the international conference on Multimedia
  • Year:
  • 2010

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Abstract

Many natural scenes have a dynamic range that is larger than the dynamic range of a camera's image sensor. A popular approach to producing an image without under- and over-exposed areas is to capture several input images with varying exposure settings, and later merge them into a single high-quality result using offline image processing software. We present a system for creating images of high-dynamic-range (HDR) scenes that operates entirely on a mobile camera. Our system consists of an automatic HDR metering algorithm that determines which exposures to capture, a video-rate viewfinder preview algorithm that allows the user to verify the dynamic range that will be recorded, and a light-weight image merging algorithm that computes a high-quality result directly on the camera. By using our system, a photographer can capture, view, and share images of HDR scenes directly on camera, without using offline image processing software