References
Arias-Castro, E., & Donoho, D. L. (2009). Does median filtering truly preserve edges better than linear filtering? Annals of Statistics, 37(3), 1172–1206.
Barrett, H. H., & Myers, K. J. (2004). Foundations of image science. Wiley-Interscience, NJ: Pure and Applied Optics.
Gonzalez, R. C., & Woods, R. E. (1992). Digital image processing. MA: Addison-Wesley.
Goudail, F., & Réfrégier, P. (2003). Statistical image processing techiques for noisy images: an application-oriented approach. Kluwer: New York.
Huber, P. J. (1981). Robust statistics. New York: Wiley.
Jain, A. K. (1989). Fundamentals of digital image processing. Englewood Cliffs, NJ: Prentice-Hall International Editions.
References
Lim, J. S. (1989). Two-dimensional signal and image processing: prentice hall signal processing series. Prentice Hall: Englewood Cliffs.
Lira Chávez, J. (2010). Tratamiento digital de imágenes multiespectrales (2nd ed.). Universidad Nacional Autónoma de México. URL http://www.lulu.com..
Lopes, A., Touzi, R., & Nezry, E. (1990). Adaptive speckle filters and scene heterogeneity. IEEE Transactions on Geoscience and Remote Sensing, 28(6), 992–1000.
Maronna, R. A., Martin, R. D., & Yohai, V. J. (2006). Robust statistics: theory and methods. Wiley, England: Wiley series in Probability and Statistics.
Medeiros, M. D., Gonçalves, L. M. G. & Frery, A. C. (2010). Using fuzzy logic to enhance stereo matching in multiresolution images. Sensors, 10(2), 1093–1118. URL http://www.mdpi.com/ 1424-8220/10/2/1093,(Special issue: Instrumentation, Signal Treatment and Uncertainty Estimation in Sensors).
Myler, H. R., & Weeks, A. R. (1993). The pocket handbook of image processing algorithms in C. Prentice Hall: Englewood Cliffs NJ.
Russ, J. C. (1998). The image processing handbook (3rd ed.). CRC Press: USA.
Shih,F.Y.(2009).Imageprocessingandmathematicalmorphology:fundamentalsandapplications. CRC Press: USA.
Velho, L., Frery, A. C., & Miranda, J. (2008). Image processing for computer graphics and vision (2nd ed.). London: Springer