Title :
Optimal Wiener interpolation filters for multiresolution coding of images
Author_Institution :
Dept. of Image Process., Heinrich-Hertz-Inst. Berlin GmbH, Germany
fDate :
4/1/1997 12:00:00 AM
Abstract :
A design approach is presented which allows the optimization of coefficients for symmetric and separable finite impulse response (FIR) interpolation filters for multiresolution coding schemes. The interpolation filters serve as optimal inverse filters in the Wiener sense and are designed to match the characteristics of the specific filters used for decimation as well as for the statistics of “typical” images to be reconstructed. Applied to the coding of test images in a four-level progressive pyramid scheme, the optimal interpolation filters generated substantially improved rate-distortion results compared to conventional filters
Keywords :
FIR filters; Wiener filters; digital filters; image coding; image reconstruction; image resolution; interpolation; inverse problems; optimisation; rate distortion theory; design approach; four-level progressive pyramid scheme; images; multiresolution coding; optimal Wiener interpolation filters; optimal inverse filters; optimization; rate-distortion results; symmetric separable finite impulse response interpolation filters; Design optimization; Finite impulse response filter; Image coding; Image reconstruction; Interpolation; Matched filters; Rate-distortion; Statistics; Testing; Wiener filter;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
