Abstract
In this paper, we present an effective three-dimensional (3-D) image restoration algorithm for image sequences. In the algorithm, the image sequences are modeled with 3-D Markov random fields. Based on the model, the noise reduction is performed using the iterated conditional mode (ICM) technique. As compared with the existing two-dimensional (2-D) image restoration algorithms, the 3-D restoration algorithm is found to enjoy a significantly better performance.
Original language | English |
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Pages (from-to) | 99-105 |
Number of pages | 7 |
Journal | Journal of the Chinese Institute of Electrical Engineering, Transactions of the Chinese Institute of Engineers, Series E/Chung KuoTien Chi Kung Chieng Hsueh K'an |
Volume | 5 |
Issue number | 1 |
Publication status | Published - 1998 Feb |
Externally published | Yes |
ASJC Scopus subject areas
- Electrical and Electronic Engineering