Skip to main content

Compression at the Source for Digital Camcorders


Typical sensors (CCD or CMOS) used in home digital camcorders have the potential of generating high definition (HD) video sequences. However, the data read out rate is a bottleneck which, invariably, forces significant quality deterioration in recorded video clips. This paper describes a novel technology for achieving a better utilization of sensor capability, resulting in HD quality video clips with esentially the same hardware. The technology is based on the use of a particular type of nonuniform sampling strategy. This strategy combines infrequent high spatial resolution frames with more frequent low resolution frames. This combination allows the data rate constraint to be achieved while retaining an HD quality output. Post processing via filter banks is used to combine the high and low spatial resolution frames to produce the HD quality output. The paper provides full details of the reconstruction algorithm as well as proofs of all key supporting theories.


  1. Feuer A, Maor N: Acquisition of image sequences with enhanced resolution. U.S.A Patent (pending), 2005

    Google Scholar 

  2. Shechtman E, Caspi Y, Irani M: Increasing space-time resolution in video. Proceedings of the 7th European Conference on Computer Vision (ECCV '02), May 2002, Copenhagen, Denmark 1: 753–768.

    MATH  Google Scholar 

  3. Cheung KF: A multi-dimensional extension of Papoulis' generalized sampling expansion with application in minimum density sampling. In Advanced Topics in Shannon Sampling and Interpolation Theory. Edited by: Marks RJ II. Springer, New York, NY, USA; 1993:86-119.

    Google Scholar 

  4. Stark H, Yang Y: Vector Space Projections. John Wiley & Sons, New York, NY, USA; 1998.

    MATH  Google Scholar 

  5. Maor N: Compression at the source, M.S. thesis. Department of Electrical Engineering, Technion, Haifa, Israel; 2006.

    Google Scholar 

  6. Dubois E: The sampling and reconstruction of time-varying imagery with application in video systems. Proceedings of the IEEE 1985,73(4):502-522.

    Article  Google Scholar 

  7. Feuer A, Goodwin GC: Reconstruction of multidimensional bandlimited signals from nonuniform and generalized samples. IEEE Transactions on Signal Processing 2005,53(11):4273-4282.

    Article  MathSciNet  Google Scholar 

  8. Papoulis A: Generalized sampling expansion. IEEE Transactions on Circuits and Systems 1977,24(11):652-654. 10.1109/TCS.1977.1084284

    Article  MathSciNet  Google Scholar 

  9. Feuer A: On the necessity of Papoulis' result for multi-dimensional GSE. IEEE Signal Processing Letters 2004,11(4):420-422. 10.1109/LSP.2004.824022

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations


Corresponding author

Correspondence to Nir Maor.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Maor, N., Feuer, A. & Goodwin, G.C. Compression at the Source for Digital Camcorders. EURASIP J. Adv. Signal Process. 2007, 024106 (2007).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: