TY - GEN
T1 - Image restoration based on adaptive MCMC particle filter
AU - Tian, Hui
AU - Shen, Tingzhi
AU - Hao, Bing
AU - Hu, Yu
AU - Yang, Nan
PY - 2009
Y1 - 2009
N2 - In this paper, particle filter is applied in image restoration which can be posed as a recursive Bayesian estimation problem, in order to remove degeneracy phenomenon and alleviate the sample impoverishment problem, the convergence of Markov chain Monte Carlo (MCMC) method is introduced and used in resampling step, meanwhile a simple KLD sampling which separated from resampling step is combined to overcome the drawback of computational complexity by adapting the size of particle set. These improvements enhance the robustness, accuracy and flexibility of the particle filter, thus a new image restoration algorithm based on adaptive MCMC particle filter is proposed, the simulation results show the effectiveness of the proposed algorithm and present the superior performance over conventional particle filter.
AB - In this paper, particle filter is applied in image restoration which can be posed as a recursive Bayesian estimation problem, in order to remove degeneracy phenomenon and alleviate the sample impoverishment problem, the convergence of Markov chain Monte Carlo (MCMC) method is introduced and used in resampling step, meanwhile a simple KLD sampling which separated from resampling step is combined to overcome the drawback of computational complexity by adapting the size of particle set. These improvements enhance the robustness, accuracy and flexibility of the particle filter, thus a new image restoration algorithm based on adaptive MCMC particle filter is proposed, the simulation results show the effectiveness of the proposed algorithm and present the superior performance over conventional particle filter.
KW - Adptive
KW - Image restoration
KW - KLD-sampling
KW - MCMC
KW - Particle filter
UR - http://www.scopus.com/inward/record.url?scp=73849098316&partnerID=8YFLogxK
U2 - 10.1109/CISP.2009.5304134
DO - 10.1109/CISP.2009.5304134
M3 - Conference contribution
AN - SCOPUS:73849098316
SN - 9781424441310
T3 - Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09
BT - Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09
T2 - 2009 2nd International Congress on Image and Signal Processing, CISP'09
Y2 - 17 October 2009 through 19 October 2009
ER -