Real-time lossless compression of mosaic video sequences

  • Authors:
  • Lei Zhang;Xiaolin Wu;Paul Bao

  • Affiliations:
  • Department of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario, Canada L8S 4K1;Department of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario, Canada L8S 4K1;School of Computer Engineering, Nanyang Technological University, Singapore 639798, Singapore

  • Venue:
  • Real-Time Imaging - Special issue on multi-dimensional image processing
  • Year:
  • 2005

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Abstract

This paper presents a simple, fast coding technique for lossless compression of mosaic video data. The design of a video codec needs to strike a balance between the compression performance and the codec throughput. Aiming to make the encoding throughput high enough for real-time lossless video compression, we propose a hybrid scheme of inter and intraframe coding. Interframe predictive coding is invoked only when the motion between adjacent frames is modest and a simple motion compensation operation can significantly improve the compression performance. Otherwise, still frame compression is performed to keep the complexity low. Experimental results show that the proposed scheme achieves higher lossless video compression ratio than existing methods such as JPEG-LS and JPEG-2000.