loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
1995 International Conference on Image Processing (ICIP'95) - Volume 2
A multiresolution approach to color image restoration and parameter estimation using homotopy continuation method
Washington D.C.
October 23-October 26
ISBN: 0-8186-7310-9
ASCII Text
x 
 
P.K. Nanda, K. Sunil Kumar, S. Ghokale, U.B. Desai, "A multiresolution approach to color image restoration and parameter estimation using homotopy continuation method," Image Processing, International Conference on, vol. 2, pp. 2045, 1995 International Conference on Image Processing (ICIP'95) - Volume 2, 1995.
 
 
BibTex
x
 
@article{ 10.1109/ICIP.1995.537411,
author = {P.K. Nanda and K. Sunil Kumar and S. Ghokale and U.B. Desai},
title = {A multiresolution approach to color image restoration and parameter estimation using homotopy continuation method},
journal ={Image Processing, International Conference on},
volume = {2},
year = {1995},
isbn = {0-8186-7310-9},
pages = {2045},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICIP.1995.537411},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Image Processing, International Conference on
TI - A multiresolution approach to color image restoration and parameter estimation using homotopy continuation method
SN - 0-8186-7310-9
SP
EP
A1 - P.K. Nanda,
A1 - K. Sunil Kumar,
A1 - S. Ghokale,
A1 - U.B. Desai,
PY - 1995
KW - image colour analysis; image restoration; parameter estimation; computational complexity; simulated annealing; image resolution; Markov processes; random processes; multiresolution approach; color image restoration; parameter estimation; homotopy continuation method; Markov random field; restoration algorithm; computational complexity; energy function; simulated annealing algorithm; MRF model; simulation results
VL - 2
JA - Image Processing, International Conference on
ER -
 
P.K. Nanda, Dept. of Electr. Eng., Indian Inst. of Technol., Bombay, India
K. Sunil Kumar, Dept. of Electr. Eng., Indian Inst. of Technol., Bombay, India
S. Ghokale, Dept. of Electr. Eng., Indian Inst. of Technol., Bombay, India
U.B. Desai, Dept. of Electr. Eng., Indian Inst. of Technol., Bombay, India
We address the problem of color image restoration. We model the image as a Markov random field (MRF) and propose a restoration algorithm in a multiresolution framework. The incorporation of multiresolution technique significantly reduces the computational complexity of the restoration algorithm. The energy function at each resolution being non-convex, is minimized using the simulated annealing algorithm. The parameters which describe the MRF model at each resolution are computed a priori using the homotopy continuation method. Simulation results are presented to validate the proposed scheme.
Index Terms:
image colour analysis; image restoration; parameter estimation; computational complexity; simulated annealing; image resolution; Markov processes; random processes; multiresolution approach; color image restoration; parameter estimation; homotopy continuation method; Markov random field; restoration algorithm; computational complexity; energy function; simulated annealing algorithm; MRF model; simulation results
Citation:
P.K. Nanda, K. Sunil Kumar, S. Ghokale, U.B. Desai, "A multiresolution approach to color image restoration and parameter estimation using homotopy continuation method," icip, vol. 2, pp.2045, 1995 International Conference on Image Processing (ICIP'95) - Volume 2, 1995
Usage of this product signifies your acceptance of the Terms of Use.