TY - JOUR
T1 - Alternating Minimization Method for Total Variation Based Wavelet Shrinkage Model
AU - Tieyong Zeng, Xiaolong Li & Michael Ng
JO - Communications in Computational Physics
VL - 5
SP - 976
EP - 994
PY - 2010
DA - 2010/08
SN - 8
DO - http://doi.org/10.4208/cicp.210709.180310a
UR - https://global-sci.org/intro/article_detail/cicp/7605.html
KW - 
AB - <p style="text-align: justify;">In this paper, we introduce a novel hybrid variational model which generalizes
the classical total variation method and the wavelet shrinkage method. An
alternating minimization direction algorithm is then employed. We also prove that it
converges strongly to the minimizer of the proposed hybrid model. Finally, some numerical
examples illustrate clearly that the new model outperforms the standard total
variation method and wavelet shrinkage method as it recovers better image details
and avoids the Gibbs oscillations.</p>