TY - GEN
T1 - Adaptive regularization for image restoration using a variational inequality approach
AU - Kitchener, M. A.
AU - Bouzerdoum, A.
AU - Phung, S. L.
PY - 2010
Y1 - 2010
N2 - In this paper, a generalized image restoration method is formulated as a variational inequality problem, whose solution is obtained using a dynamic system approach. In this method, the restored image and the regularization parameter are obtained simultaneously. In particular, the optimum regularization parameter is determined adaptively, depending on noise and image content. The restoration problem is presented in a generalized form so that it maybe be implemented using different norms; only L1 and L2 norms have been implemented in this paper. A comparison based on experimental results shows that the proposed method achieves comparable if not better performance as some of the existing state-of-the-art techniques.
AB - In this paper, a generalized image restoration method is formulated as a variational inequality problem, whose solution is obtained using a dynamic system approach. In this method, the restored image and the regularization parameter are obtained simultaneously. In particular, the optimum regularization parameter is determined adaptively, depending on noise and image content. The restoration problem is presented in a generalized form so that it maybe be implemented using different norms; only L1 and L2 norms have been implemented in this paper. A comparison based on experimental results shows that the proposed method achieves comparable if not better performance as some of the existing state-of-the-art techniques.
UR - http://www.scopus.com/inward/record.url?scp=78651110826&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2010.5654079
DO - 10.1109/ICIP.2010.5654079
M3 - Conference contribution
AN - SCOPUS:78651110826
SN - 9781424479948
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2513
EP - 2516
BT - 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
T2 - 2010 17th IEEE International Conference on Image Processing, ICIP 2010
Y2 - 26 September 2010 through 29 September 2010
ER -