Wavelet-based 2-D multichannel signal estimation

Ian Atkinson, Farzad Kamalabadi, Satish Mohan, Douglas L. Jones

Research output: Contribution to conferencePaperpeer-review


In this paper, we present a new wavelet-based estimator for 2-D multichannel signals. Estimation of a 2-D multichannel signal relies on the ability to decorrelate the signal in both space and channel. The new estimator we present uses a 2-D discrete wavelet transform to approximately decorrelate the signal in space, allowing for efficient estimation of both stationary and non-stationary signals. When channel correlation is unknown, but depends only on channel separation, the DFT my be utilized to decorrelate the channel efficiently. In contrast to the optimal estimation scheme, our new estimator does not require second-order signal statistics, making it well suited to many applications. In addition to providing vastly improved visual quality, the new estimator typically yields signal-to-noise ratio gains of over 12 dB.

Original languageEnglish (US)
Number of pages4
StatePublished - 2003
EventProceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain
Duration: Sep 14 2003Sep 17 2003


OtherProceedings: 2003 International Conference on Image Processing, ICIP-2003

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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