Generation of super-resolution images from blurred observations using Markov random fields

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 3, Issue , 2001, Pages 1837-1840

  Rajan, Deepu ^a   Chaudhuri, Subhasis ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE QUALITY; IMAGE SENSORS; ITERATIVE METHODS; MARKOV PROCESSES; MATHEMATICAL MODELS; MATRIX ALGEBRA; MAXIMUM LIKELIHOOD ESTIMATION; SIMULATED ANNEALING;

BLURRED IMAGES; GRADIENT DESCENT METHOD; GRADUATED NONCONVEXITY METHOD; MARKOV RANDOM FIELDS; MAXIMUM A POSTERIORI ESTIMATION; SUPER RESOLUTION IMAGES;

IMAGE RECONSTRUCTION;

EID: 0034855023     PISSN: 15206149     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICASSP.2001.941300     Document Type: Article

References (7)

1. Multiframe image restoration and registration
2. Improving resolution by image registration
3. A Bayesian approach to image expansion for improved definition
4. Restoration of a single super-resolution image from several blurred, noisy and undersampled measured images
5. Local blur estimation and super-resolution
6. Stochastic relaxation, Gibbs distribution and the Bayesian restoration of image