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.
|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|
|Publication status||Published - 1998 Feb 1|
ASJC Scopus subject areas
- Electrical and Electronic Engineering