TY - GEN
T1 - Sub-image extraction by learnt lifting wavelet filters
AU - Takano, Shigeru
AU - Niijima, Koichi
PY - 1999
Y1 - 1999
N2 - This paper proposes a method for extracting sub-images from a huge reference image by using learnt lifting wavelet filters. Lifting wavelet filters are biorthogonal wavelet filters containing free parameters developed by Sweldens. Our method is to learn such free parameters using some training sub-images so as to eliminate their high frequency components. The learnt wavelet filters have the feature of training sub-images. Applying such wavelet filters to the reference image, we can detect the area which has almost the same high frequency components as those of the target sub-image.
AB - This paper proposes a method for extracting sub-images from a huge reference image by using learnt lifting wavelet filters. Lifting wavelet filters are biorthogonal wavelet filters containing free parameters developed by Sweldens. Our method is to learn such free parameters using some training sub-images so as to eliminate their high frequency components. The learnt wavelet filters have the feature of training sub-images. Applying such wavelet filters to the reference image, we can detect the area which has almost the same high frequency components as those of the target sub-image.
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U2 - 10.1109/ISSPA.1999.818174
DO - 10.1109/ISSPA.1999.818174
M3 - Conference contribution
AN - SCOPUS:84904414181
SN - 1864354518
SN - 9781864354515
T3 - ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications
SP - 309
EP - 312
BT - ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications
PB - IEEE Computer Society
T2 - 5th International Symposium on Signal Processing and Its Applications, ISSPA 1999
Y2 - 22 August 1999 through 25 August 1999
ER -