DocumentCode
2705955
Title
MLP interpolation for digital image processing using wavelet transform
Author
Huang, Yu-Len ; Chang, Ruey-Feng
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Chung-Hsing Univ., Taichung, Taiwan
Volume
6
fYear
1999
fDate
15-19 Mar 1999
Firstpage
3217
Abstract
We present nonlinear interpolation schemes for image resolution enhancement. The multilayer perceptron (MLP) interpolation schemes based on the wavelet transform and subband filtering are proposed. Because estimating each subimage signal is more effective than estimating the whole image signal, pixels in the low-resolution image are used as the input signal of the MLP to estimate all of the wavelet subimage of the corresponding high-resolution image. The image of increased resolution is finally produced by the synthesis procedure of the wavelet transform. As compared with other popular methods, the results show that the improvement is remarkable
Keywords
filtering theory; image classification; image enhancement; image resolution; interpolation; multilayer perceptrons; wavelet transforms; MLP interpolation; VLSI techniques; digital image processing; high-resolution image; image resolution enhancement; input signal; low-resolution image; multilayer perceptron; nonlinear interpolation; pixels; subband filtering; subimage signal estimation; wavelet analysis/synthesis; wavelet subimage; wavelet transform; window edge classifier; Digital images; Frequency; Image reconstruction; Image resolution; Interpolation; Multilayer perceptrons; Neural networks; Pixel; Signal resolution; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location
Phoenix, AZ
ISSN
1520-6149
Print_ISBN
0-7803-5041-3
Type
conf
DOI
10.1109/ICASSP.1999.757526
Filename
757526
Link To Document