A multiresolution model for image interpolation with adaptive filtering

This paper proposes an image interpolation model based on a multiresolution scheme. The method uses two different known image resolutions to establish a mapping between them. The mapping is then used to extrapolate the unknown resolution to produce an expanded image with increased definition and wit...

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Bibliographic Details
Published in2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100) Vol. 4; pp. 2203 - 2206 vol.4
Main Authors Cardoso, F.A.C.M., Arantes, D.S., Romano, J.M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2000
Subjects
Adaptive filters
Application software
Degradation
Finite impulse response filter
Image reconstruction
Image resolution
Interpolation
Pixel
Predictive models
Spatial resolution
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Summary:This paper proposes an image interpolation model based on a multiresolution scheme. The method uses two different known image resolutions to establish a mapping between them. The mapping is then used to extrapolate the unknown resolution to produce an expanded image with increased definition and with a mean square reconstruction error lower than for the conventional methods. In other words, details in a high resolution image are implicitly predicted based only on its low-frequency resolutions. A high subjective quality is obtained due to the similar nature of the mappings, which are constructed by means of an adaptive bidimensional FIR filter.
ISBN:9780780362932
0780362934
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2000.859275