TY - JOUR
T1 - Restoration of noisy image sequences using Markov random fields
AU - Hwang, Wen Jyi
AU - Huang, Ching Jiang
AU - Lu, Yeong Cherng
PY - 1998/2
Y1 - 1998/2
N2 - 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.
AB - 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.
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M3 - Article
AN - SCOPUS:0032003152
SN - 1023-4462
VL - 5
SP - 99
EP - 105
JO - 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
JF - 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
IS - 1
ER -