Title :
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
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;
Conference_Titel :
Circuits and Systems, 2009. MWSCAS '09. 52nd IEEE International Midwest Symposium on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-4479-3
Electronic_ISBN :
1548-3746
DOI :
10.1109/MWSCAS.2009.5235996
