Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/46816
Title: Super-resolution imaging : Markov chain Monte Carlo and state-space approaches
Authors: Tian, Jing
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2009
Source: Tian, J. (2009). Super-resolution imaging : Markov chain Monte Carlo and state-space approaches. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: 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).
Description: 234 p.
URI: https://hdl.handle.net/10356/46816
DOI: 10.32657/10356/46816
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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