1. | Sherman, E. and H. Spitzer (2000). "Confrontation of retinal adaptation model with key features of psychophysical gain behavior dynamics." Lecture notes in computer science: 88-97 |
2. | Spitzer, H. and S. Semo (2002). "Color constancy: a biological model and its application for still and video images." Pattern Recognition 35(8): 1645-1659. |
3. | Spitzer, H. and A. Rosenbluth (2002). "Color constancy: The role of low-level mechanisms." Spatial vision 15(3): 277-302 |
4. | Tsofe, A., G. Rotgold and H. Spitzer (2003). "Remote adaptation effect on perceived subjective color: A model approach." Color Research & Application 28(3): 197-208. |
5. | Spitzer, H. and Y. Barkan (2005). "Computational adaptation model and its predictions for color induction of first and second orders." Vision Research 45(27): 3323-3342. |
6. | Ellenbogen, T. and H. Spitzer (2006). "Chromatic collinear facilitation, further evidence for chromatic form perception." Spatial vision 19(6): 547-568. |
7. | Barkan, Y., H. Spitzer and S. Einav (2008). "Brightness contrast–contrast induction model predicts assimilation and inverted assimilation effects." Journal of Vision 8(7): 27. |
8. | Tsofe, A., H. Spitzer and S. Einav (2009). "Does the Chromatic Mach bands effect exist?" Journal of Vision 9(6): 29. |
9. | Spitzer, H., Y. Yatir (Submitted). "Biological Gain Control Model for High Dynamic Range Compression." |
10. | Cohen-Duwek, H., H. Spitzer (Submitted). "Biolgical algorithm for compandig CT images." |