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Quaternion Potential Functions for a Colour Image Completion Method Using Markov Random Fields

Date

Authors

Ho, Huy Tho

Goecke, Roland

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

An exemplar-based algorithm has been proposed recently to solve the Image completion problem by using a discrete global optimisation strategy based on Markov Random Fields. We can apply this algorithm to the task of completing colour images by processing

Keywords

Keywords: Algorithms; Boolean functions; Color; Correlation methods; Evolutionary algorithms; Feature extraction; Fourier transforms; Functions; Global optimization; Hidden Markov models; Image enhancement; Image reconstruction; Image segmentation; Imaging techniqu

URI

http://hdl.handle.net/1885/18825

Collections

ANU Research Publications

Source

Proceedings of the 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications

Type

Conference paper

DOI

10.1109/DICTA.2007.4426814

Restricted until

2037-12-31

Downloads

File

Description

01_Ho_Quaternion_Potential_Functions_2007.pdf (459.8 KB)