Algorithm of super-resolution in images and video sequences applying wavelets based on atomic functions

Author

Gomeztagle, F. ; Kravchenko, V.F. ; Escamilla, E. ; Ponomaryov, V.

Author_Institution

Nat. Polytech. Inst. of Mexico, Mexico City, Mexico

fYear

2009

fDate

2-5 Aug. 2009

Firstpage

707

Lastpage

711

Abstract

A novel algorithm for super resolution (SR) in images and video sequences is introduced. In difference with conventional approaches, new framework employs the spatial spectral properties of an image or sequence applying wavelet technique. Novel wavelets based on atomic functions used in SR have shown good properties of resolution by extension of an image size up to 4 times in comparison with the original low resolution image. Numerous statistical simulations have demonstrated the effectiveness of the novel technique exposing good subjective visual quality as well as significant improvement of SR image.

Keywords

image resolution; image sequences; spectral analysis; statistical analysis; video signal processing; wavelet transforms; atomic functions; image super-resolution algorithm; spatial spectral properties; statistical simulation; subjective visual quality; video sequences; wavelet-based method; Atomic measurements; Biomedical imaging; Image coding; Image reconstruction; Image resolution; Interpolation; Pixel; Spatial resolution; Strontium; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2009. MWSCAS '09. 52nd IEEE International Midwest Symposium on

Conference_Location

Cancun

ISSN

1548-3746

Print_ISBN

978-1-4244-4479-3

Electronic_ISBN

1548-3746

Type

conf

DOI

10.1109/MWSCAS.2009.5235996

Filename

5235996