Video coding for the mobile capture of higher dynamic range image sequences

  • Authors:
  • Andrew Segall;Jie Zhao;Ron Rubinstein

  • Affiliations:
  • Sharp Labs of America, Camas, WA and Department of Computer Science, Technion, Haifa, Israel;Sharp Labs of America, Camas, WA and Department of Computer Science, Technion, Haifa, Israel;Sharp Labs of America, Camas, WA and Department of Computer Science, Technion, Haifa, Israel

  • Venue:
  • PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
  • Year:
  • 2009

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Abstract

This paper is concerned with the problem of capturing higher dynamic range video with a mobile device. We assume the mobile device has a standard (or low) dynamic range image sensor, and that the device is constrained by power and processing capability. To address these issues, we develop a system that captures a video sequence containing time varying exposure settings, encodes this sequence without modification, and then transmits the sequence to a decoder. The bit-stream is constructed so that legacy decoding devices only decode a single exposure setting while advanced devices decode multiple exposure settings and then use the decoded data to reconstruct a higher dynamic range image sequence.