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 language | English (US) |
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Pages | 555-559 |
Number of pages | 5 |
State | Published - 1998 |
Event | Proceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3) - Chicago, IL, USA Duration: Oct 4 1998 → Oct 7 1998 |
Other
Other | Proceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3) |
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City | Chicago, IL, USA |
Period | 10/4/98 → 10/7/98 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering