论文信息 - Projection filters for image and signal restoration

Projection filters for image and signal restoration

Projection filters are reviewed, and a version called the partial projection filter is introduced. It allows images to be restored to a subspace which can be chosen for practical problems. Finally, a localized version of the filter is presented. Results of the various filters are given on restoration of images containing text and natural objects that are blurred by Gaussian defocusing blur.<<ETX>>

E. Oja | H. Ogawa | J. Lampinen

[1] B. Roy Frieden. Image restoration by discrete convolution of minimal length , 1974 .

[2] B E Saleh. Trade off between resolution and noise in restoration by superposition of images. , 1974, Applied optics.

[3] C. K. Yuen,et al. Theory and Application of Digital Signal Processing , 1978, IEEE Transactions on Systems, Man, and Cybernetics.

[4] Martin J. Lahart. Local image restoration by a least-squares method , 1979 .

[5] A method for generating transition-tours using random input , 1984 .

[6] H. Trussell,et al. The feasible solution in signal restoration , 1984 .

[7] E. Oja,et al. Projection filter, Wiener filter, and Karhunen-Loève subspaces in digital image restoration , 1986 .

[8] Erkki Oja,et al. Parametric projection filter for image and signal restoration , 1986, IEEE Trans. Acoust. Speech Signal Process..

[9] J. Lampinen,et al. A fast local PPF restoration filter , 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[10] Jouko Lampinen,et al. Image Restoration by Fast Local Convolution , 1988 .