Abstract

We introduce a new complexity regularization method for image denoising and explore the use of sophisticated complexity penalties. We have found improvements of the order of 2 dB in reconstructed image mean-squared error over existing complexity-regularized estimators.

Original languageEnglish (US)
Pages370-373
Number of pages4
StatePublished - Dec 1 1997
EventProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) - Santa Barbara, CA, USA
Duration: Oct 26 1997Oct 29 1997

Other

OtherProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)
CitySanta Barbara, CA, USA
Period10/26/9710/29/97

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Image denoising

ASJC Scopus subject areas

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

Cite this

Liu, J., & Moulin, P. (1997). Complexity-regularized image denoising. 370-373. Paper presented at Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3), Santa Barbara, CA, USA, .

Complexity-regularized image denoising. / Liu, Juan; Moulin, Pierre.

1997. 370-373 Paper presented at Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3), Santa Barbara, CA, USA, .

Research output: Contribution to conferencePaper

Liu, J & Moulin, P 1997, 'Complexity-regularized image denoising' Paper presented at Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3), Santa Barbara, CA, USA, 10/26/97 - 10/29/97, pp. 370-373.
Liu J, Moulin P. Complexity-regularized image denoising. 1997. Paper presented at Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3), Santa Barbara, CA, USA, .
Liu, Juan ; Moulin, Pierre. / Complexity-regularized image denoising. Paper presented at Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3), Santa Barbara, CA, USA, .4 p.
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