S. T. Acton, A. C. Bovik, “Nonlinear image estimation using piecewise and local image models,” IEEE Trans. Image Process. 7, 979–991 (1998).

[CrossRef]

Y. Boykov, O. Veksler, R. Zabih, “A variable window approach to early vision,” IEEE Trans. Pattern Anal. Mach. Intell. 20, 1283–1294 (1998).

[CrossRef]

D. Geman, C. Yang, “Nonlinear image recovery with half-quadratic regularization,” IEEE Trans. Image Process. 4, 932–946 (1995).

[CrossRef]
[PubMed]

V. Koivunen, “A robust nonlinear filter for image restoration,” IEEE Trans. Image Process. 4, 569–578 (1995).

[CrossRef]
[PubMed]

I. Pitas, A. N. Venetsanopoulos, “Order statistics in digital image processing,” Proc. IEEE 80, 1893–1921 (1992).

[CrossRef]

Y.-S. Fong, C. A. Pomalaza-Raez, X.-H Wang, “Comparison study of nonlinear filters in image processing applications,” Opt. Eng. 28, 749–760 (1989).

R. Ding, A. N. Venetsanopoulos, “Generalized homomorphic and adaptive order statistic filters for the removal of impulsive and signal-dependent noise,” IEEE Trans. Circuits Syst. CAS-34, 948–955 (1987).

[CrossRef]

C. A. Pomalaza-Raez, C. D. McGillem, “An adaptive, nonlinear edge-preserving filter,” IEEE Trans. Acoust. Speech Signal Process. ASSP-32, 571–576 (1984).

[CrossRef]

Y. H. Lee, S. A. Kassam, “Generalized median filtering and related nonlinear filtering techniques,” IEEE Trans. Acoust. Speech Signal Process. ASSP-33, 672–683 (1984).

R. M. Haralick, L. Watson, “A facet model for image data,” Comput. Graph. Image Process. 15, 113–129 (1981).

[CrossRef]

D. C. C. Wang, A. H. Vagucci, “Gradient inverse weighted smoothing scheme and the evaluation of its performance,” Comput. Vision Graph. Image Process. 15, 167–181 (1981).

J.-S. Lee, “Digital image enhancement and noise filtering by use of local statistics,” IEEE Trans. Pattern Anal. Mach. Intell. PAMI-2, 165–168 (1981).

[CrossRef]

R. A. Kirsch, “Computer determination of the constitute structure of biological images,” Comput. Biomed. Res. 4, 315–328 (1971).

[CrossRef]
[PubMed]

S. T. Acton, A. C. Bovik, “Nonlinear image estimation using piecewise and local image models,” IEEE Trans. Image Process. 7, 979–991 (1998).

[CrossRef]

S. T. Acton, A. C. Bovik, “Nonlinear image estimation using piecewise and local image models,” IEEE Trans. Image Process. 7, 979–991 (1998).

[CrossRef]

Y. Boykov, O. Veksler, R. Zabih, “A variable window approach to early vision,” IEEE Trans. Pattern Anal. Mach. Intell. 20, 1283–1294 (1998).

[CrossRef]

R. Ding, A. N. Venetsanopoulos, “Generalized homomorphic and adaptive order statistic filters for the removal of impulsive and signal-dependent noise,” IEEE Trans. Circuits Syst. CAS-34, 948–955 (1987).

[CrossRef]

Y.-S. Fong, C. A. Pomalaza-Raez, X.-H Wang, “Comparison study of nonlinear filters in image processing applications,” Opt. Eng. 28, 749–760 (1989).

D. Geman, C. Yang, “Nonlinear image recovery with half-quadratic regularization,” IEEE Trans. Image Process. 4, 932–946 (1995).

[CrossRef]
[PubMed]

R. M. Haralick, L. Watson, “A facet model for image data,” Comput. Graph. Image Process. 15, 113–129 (1981).

[CrossRef]

D. Jones, J. Malik, “A computational framework for determining stereo correspondence from a set of linear spatial filters,” in Second European Conference on Computer Vision, G. Sandini, ed. (Springer-Verlag, New York, 1992), pp. 395–410.

Y. H. Lee, S. A. Kassam, “Generalized median filtering and related nonlinear filtering techniques,” IEEE Trans. Acoust. Speech Signal Process. ASSP-33, 672–683 (1984).

S. R. Peterson, S. A. Kassam, “Edge preserving signal enhancement using generalizations of ordered statistics filtering,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (Institute of Electrical and Electronics Engineers, New York, 1985), pp. 672–675.

[CrossRef]

R. A. Kirsch, “Computer determination of the constitute structure of biological images,” Comput. Biomed. Res. 4, 315–328 (1971).

[CrossRef]
[PubMed]

V. Koivunen, “A robust nonlinear filter for image restoration,” IEEE Trans. Image Process. 4, 569–578 (1995).

[CrossRef]
[PubMed]

J.-S. Lee, “Digital image enhancement and noise filtering by use of local statistics,” IEEE Trans. Pattern Anal. Mach. Intell. PAMI-2, 165–168 (1981).

[CrossRef]

Y. H. Lee, S. A. Kassam, “Generalized median filtering and related nonlinear filtering techniques,” IEEE Trans. Acoust. Speech Signal Process. ASSP-33, 672–683 (1984).

J. Little, “Accurate early detection of discontinuities,” in Vision Interface’92 (Canadian Image Processing and Pattern Recognition Society, Toronto, Canada, 1992), pp. 97–102.

D. Jones, J. Malik, “A computational framework for determining stereo correspondence from a set of linear spatial filters,” in Second European Conference on Computer Vision, G. Sandini, ed. (Springer-Verlag, New York, 1992), pp. 395–410.

C. A. Pomalaza-Raez, C. D. McGillem, “An adaptive, nonlinear edge-preserving filter,” IEEE Trans. Acoust. Speech Signal Process. ASSP-32, 571–576 (1984).

[CrossRef]

S. R. Peterson, S. A. Kassam, “Edge preserving signal enhancement using generalizations of ordered statistics filtering,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (Institute of Electrical and Electronics Engineers, New York, 1985), pp. 672–675.

[CrossRef]

I. Pitas, A. N. Venetsanopoulos, “Order statistics in digital image processing,” Proc. IEEE 80, 1893–1921 (1992).

[CrossRef]

Y.-S. Fong, C. A. Pomalaza-Raez, X.-H Wang, “Comparison study of nonlinear filters in image processing applications,” Opt. Eng. 28, 749–760 (1989).

C. A. Pomalaza-Raez, C. D. McGillem, “An adaptive, nonlinear edge-preserving filter,” IEEE Trans. Acoust. Speech Signal Process. ASSP-32, 571–576 (1984).

[CrossRef]

D. C. C. Wang, A. H. Vagucci, “Gradient inverse weighted smoothing scheme and the evaluation of its performance,” Comput. Vision Graph. Image Process. 15, 167–181 (1981).

Y. Boykov, O. Veksler, R. Zabih, “A variable window approach to early vision,” IEEE Trans. Pattern Anal. Mach. Intell. 20, 1283–1294 (1998).

[CrossRef]

I. Pitas, A. N. Venetsanopoulos, “Order statistics in digital image processing,” Proc. IEEE 80, 1893–1921 (1992).

[CrossRef]

R. Ding, A. N. Venetsanopoulos, “Generalized homomorphic and adaptive order statistic filters for the removal of impulsive and signal-dependent noise,” IEEE Trans. Circuits Syst. CAS-34, 948–955 (1987).

[CrossRef]

D. C. C. Wang, A. H. Vagucci, “Gradient inverse weighted smoothing scheme and the evaluation of its performance,” Comput. Vision Graph. Image Process. 15, 167–181 (1981).

Y.-S. Fong, C. A. Pomalaza-Raez, X.-H Wang, “Comparison study of nonlinear filters in image processing applications,” Opt. Eng. 28, 749–760 (1989).

R. M. Haralick, L. Watson, “A facet model for image data,” Comput. Graph. Image Process. 15, 113–129 (1981).

[CrossRef]

D. Geman, C. Yang, “Nonlinear image recovery with half-quadratic regularization,” IEEE Trans. Image Process. 4, 932–946 (1995).

[CrossRef]
[PubMed]

Y. Boykov, O. Veksler, R. Zabih, “A variable window approach to early vision,” IEEE Trans. Pattern Anal. Mach. Intell. 20, 1283–1294 (1998).

[CrossRef]

R. A. Kirsch, “Computer determination of the constitute structure of biological images,” Comput. Biomed. Res. 4, 315–328 (1971).

[CrossRef]
[PubMed]

R. M. Haralick, L. Watson, “A facet model for image data,” Comput. Graph. Image Process. 15, 113–129 (1981).

[CrossRef]

D. C. C. Wang, A. H. Vagucci, “Gradient inverse weighted smoothing scheme and the evaluation of its performance,” Comput. Vision Graph. Image Process. 15, 167–181 (1981).

C. A. Pomalaza-Raez, C. D. McGillem, “An adaptive, nonlinear edge-preserving filter,” IEEE Trans. Acoust. Speech Signal Process. ASSP-32, 571–576 (1984).

[CrossRef]

Y. H. Lee, S. A. Kassam, “Generalized median filtering and related nonlinear filtering techniques,” IEEE Trans. Acoust. Speech Signal Process. ASSP-33, 672–683 (1984).

R. Ding, A. N. Venetsanopoulos, “Generalized homomorphic and adaptive order statistic filters for the removal of impulsive and signal-dependent noise,” IEEE Trans. Circuits Syst. CAS-34, 948–955 (1987).

[CrossRef]

S. T. Acton, A. C. Bovik, “Nonlinear image estimation using piecewise and local image models,” IEEE Trans. Image Process. 7, 979–991 (1998).

[CrossRef]

D. Geman, C. Yang, “Nonlinear image recovery with half-quadratic regularization,” IEEE Trans. Image Process. 4, 932–946 (1995).

[CrossRef]
[PubMed]

V. Koivunen, “A robust nonlinear filter for image restoration,” IEEE Trans. Image Process. 4, 569–578 (1995).

[CrossRef]
[PubMed]

J.-S. Lee, “Digital image enhancement and noise filtering by use of local statistics,” IEEE Trans. Pattern Anal. Mach. Intell. PAMI-2, 165–168 (1981).

[CrossRef]

Y. Boykov, O. Veksler, R. Zabih, “A variable window approach to early vision,” IEEE Trans. Pattern Anal. Mach. Intell. 20, 1283–1294 (1998).

[CrossRef]

Y.-S. Fong, C. A. Pomalaza-Raez, X.-H Wang, “Comparison study of nonlinear filters in image processing applications,” Opt. Eng. 28, 749–760 (1989).

I. Pitas, A. N. Venetsanopoulos, “Order statistics in digital image processing,” Proc. IEEE 80, 1893–1921 (1992).

[CrossRef]

S. R. Peterson, S. A. Kassam, “Edge preserving signal enhancement using generalizations of ordered statistics filtering,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (Institute of Electrical and Electronics Engineers, New York, 1985), pp. 672–675.

[CrossRef]

D. Jones, J. Malik, “A computational framework for determining stereo correspondence from a set of linear spatial filters,” in Second European Conference on Computer Vision, G. Sandini, ed. (Springer-Verlag, New York, 1992), pp. 395–410.

J. Little, “Accurate early detection of discontinuities,” in Vision Interface’92 (Canadian Image Processing and Pattern Recognition Society, Toronto, Canada, 1992), pp. 97–102.