[1]
|
A. M. Mirza, A. Chaudhry, B. Munir, “Spatially adaptive image restoration using fuzzy punctual kriging,” Journal of Computer Science and Technology, vol. 22, pp. 580-589, 2007.
|
[2]
|
T. Chen, K. K., Ma, L. H. Chen,“Tri-state median filter for image denoising,” IEEE Trans. Image Processing, vol. 8, pp. 1834-1838, 1999.
|
[3]
|
K. Arakawa, “Median filters based on fuzzy rules and its application to image restoration,” Fuzzy Sets and Systems, vol. 77, pp. 3-13, 1996.
|
[4]
|
T.-C. Lin, P.-T. Yu, “ Partition fuzzy median filter based on fuzzy rules for image restoration,” Fuzzy Sets and Systems, vol.147, pp. 75-97, 2004.
|
[5]
|
T. Sun, Y. Neuvo, “De-tail-preserving median based filters in image processing,” Pattern Recognition Letters, vol. 15,pp. 341-347, 1994.
|
[6]
|
K. S. Pankaj, M. Banshidhar, “An improved adaptive impulsive noise suppression scheme for digital images, “International Journal of Electronics and Com-munication, vol. 64, pp. 322-328, 2010.
|
[7]
|
T.-C. Lin, P.-T. Yu, “Adaptive two-pass median filter based on support vector machines for image restoration,” Neural Computation, vol. 16, pp. 333-354, 2004.
|
[8]
|
H. Liu, F. Sun, Z. Sun, “Image filtering using support vector ma-chine,” Lecture Notes in Computer Science, vol. 3972, pp. 533-538, 2006.
|
[9]
|
T.-C. Lin, “Partition belief median filter based on Dempster-Shafer theory in image processing, “Pattern Recognition, vol. 41, pp. 139-151, 2008.
|
[10]
|
T.-C. Liu, R.-K. Li, “A new ART-counterpropagation neural network for solving a forecasting problem,” Expert Systems with Applications, vol. 28, pp. 21-27, 2005.
|
[11]
|
T.-C. Lin, “A novel deci-sion-based median-type filter using SVM for image de-noising,” International Journal of Innovative Computing, Information and Control, vol. 8, pp. 3189-3202, 2012.
|