DocumentCode :
3465401
Title :
Imaging model at different resolutions
Author :
Kopparapu, Sunil K. ; Corke, Peter I.
Author_Institution :
CSIRO Manuf. Sci. & Technol., Kenmore, Qld., Australia
Volume :
2
fYear :
1999
fDate :
1999
Firstpage :
785
Abstract :
Multiresolution analysis is being extensively used in image processing and computer vision problems. We derive the image formation model at a coarse resolution given the image model at a fine resolution, in particular we give an expression to calculate the blur matrix at a coarse resolution given the blur matrix at fine resolution, In particular, we consider the image model YΩ=ℋΩXΩ+W Ω at resolution Ω and show that the image model at a coarser resolution, Ω-1, retains the same structure and can be shown to be YΩ-1=ℋΩ-1XΩ-1+W Ω-1
Keywords :
computer vision; image resolution; matrix algebra; blur matrix; coarse resolution; computer vision; fine resolution; image formation model; image processing; imaging model; multiresolution analysis; Australia; Band pass filters; Computer vision; Data structures; Frequency; Image processing; Image resolution; Low pass filters; Signal processing; Signal resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
1-86435-451-8
Type :
conf
DOI :
10.1109/ISSPA.1999.815789
Filename :
815789
Link To Document :
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