Complexity-regularized image restoration

Juan Liu, Pierre Moulin

Research output: Contribution to conferencePaper

Abstract

In this paper, we propose the use of complexity regularization in image restoration. This is a flexible estimation method which borrows from recent developments in nonparametric estimation theory. The regularized estimation problem is formulated in the wavelet domain and solved using a computationally efficient multiscale relaxation algorithm.

Original languageEnglish (US)
Pages555-559
Number of pages5
StatePublished - Dec 1 1998
EventProceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3) - Chicago, IL, USA
Duration: Oct 4 1998Oct 7 1998

Other

OtherProceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3)
CityChicago, IL, USA
Period10/4/9810/7/98

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Complexity-regularized image restoration'. Together they form a unique fingerprint.

  • Cite this

    Liu, J., & Moulin, P. (1998). Complexity-regularized image restoration. 555-559. Paper presented at Proceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3), Chicago, IL, USA, .