Title :
Efficient color image restoration using Markov random field
Author :
Kaulgud, Narasimha ; Desai, U.B.
Author_Institution :
SPANN Lab., Indian Inst. of Technol., Mumbai, India
Abstract :
This paper deals with the restoration of color images, distorted by an erroneous point spread function (PSF), and corrupted by Gaussian noise. The image is modeled as a Markov random field (MRF), and color image restoration is cast as a MAP estimation problem. A simulated annealing algorithm is used to minimize the posterior energy function. A multiresolution approach is used to achieve computational efficiency
Keywords :
Gaussian noise; Markov processes; computational complexity; image colour analysis; image resolution; image restoration; maximum likelihood estimation; optical transfer function; random processes; simulated annealing; wavelet transforms; white noise; MAP estimation problem; Markov random field; PSF; computational complexity reduction; computational efficiency; efficient color image restoration; multiresolution approach; point spread function; posterior energy function; simulated annealing algorithm; wavelets; white Gaussian noise; Atmospheric modeling; Color; Computational efficiency; Computational modeling; Energy resolution; Image resolution; Image restoration; Markov random fields; Signal resolution; Simulated annealing;
Conference_Titel :
TENCON '98. 1998 IEEE Region 10 International Conference on Global Connectivity in Energy, Computer, Communication and Control
Conference_Location :
New Delhi
Print_ISBN :
0-7803-4886-9
DOI :
10.1109/TENCON.1998.797063
