A multiresolution model for image interpolation with adaptive filtering

Author

Cardoso, Fabbryccio A C M ; Arantes, Dalton S. ; Romano, João Marcos

Author_Institution

Dept. de Comunicacoes, Univ. Estadual de Campinas, Sao Paulo, Brazil

Volume

6

fYear

2000

fDate

2000

Firstpage

2203

Abstract

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

Keywords

FIR filters; adaptive filters; extrapolation; filtering theory; image resolution; interpolation; mean square error methods; two-dimensional digital filters; 2D FIR filter; adaptive filtering; expanded image; extrapolation; high resolution image; high subjective quality; image interpolation; image resolution; increased definition; low-frequency resolutions; mapping; mean square reconstruction error; multiresolution model; Adaptive filters; Application software; Degradation; Finite impulse response filter; Image reconstruction; Image resolution; Interpolation; Pixel; Predictive models; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.859275

Filename

859275