Super-resolution imaging : Markov chain Monte Carlo and state-space approaches
Date of Issue2009
School of Electrical and Electronic Engineering
The key objective of super-resolution (SR) imaging is to reconstruct a single higher-resolution image based on a set of images, acquired from the same scene and denoted as 'low-resolution' images, to overcome the limitation and/or ill conditions of the image acquisition process for facilitating better visualization and content recog-nition. This thesis investigates two fundamental approaches—Bayesian inference via Markov chain Monte Carlo (stochastic approach) and state-space estimation (deterministic approach).
DRNTU::Engineering::Electrical and electronic engineering
Nanyang Technological University