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Enhancing color vision by breaking binocular redundancy

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Enhancing color vision by breaking binocular redundancy ( enhancing-color-vision-by-breaking-binocular-redundancy )

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24. Sharma, G. LCDs versus CRTs—color-calibration and gamut considerations. Proc. IEEE 90, 605–622 (2002). 25. Mahy, M., Eycken, L. & Oosterlinck, A. Evaluation of Uniform Color Spaces Developed after the Adoption of CIELAB and CIELUV. Color Res. Appl. 19, 105–121 (1994). 26. Bal, C., Jain, A. K. & Nguyen, T. Q. Detection and removal of binocular luster in compressed 3D images. in 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 1345–1348 (2011). doi:10.1109/ICASSP.2011.5946661 27. Blake, R. A Primer on Binocular Rivalry, Including Current Controversies. Brain Mind 2, 5–38 (2001). 28. Brascamp, J. W., Klink, P. C. & Levelt, W. J. M. The ‘laws’ of binocular rivalry: 50 years of Levelt’s propositions. Vision Res. 109, 20–37 (2015). 29. Levelt, W. J. M. On Binocular Rivalry. (Leiden University, 1965). 30. Lit, A. The Magnitude of the Pulfrich Stereophenomenon as a Function of Binocular Differences of Intensity at Various Levels of Illumination. Am. J. Psychol. 62, 159–181 (1949). 31. Yang, E. K. & Tolle, J. W. A class of methods for solving large, convex quadratic programs subject to box constraints. Math. Program. 51, 223–228 (1991). 32. Schmeder, A. W. & McPherson, D. M. Multi-band color vision filters and method by lp- optimization. (2014). 33. Vukusic, P., Sambles, J. R., Lawrence, C. R. & Wootton, R. J. Quantified interference and diffraction in single Morpho butterfly scales. Proc. R. Soc. London B Biol. Sci. 266, 1403– 1411 (1999). 34. Bulina, M. E. et al. New class of blue animal pigments based on Frizzled and Kringle protein domains. J. Biol. Chem. 279, 43367–43370 (2004). 35. Tikhonravov, A. V, Trubetskov, M. K., Amotchkina, T. V & Kokarev, M. A. Key role of the coating total optical thickness in solving design problems. in 5250, 5210–5250 (2004). 36. Tikhonravov, A. V, Trubetskov, M. K. & DeBell, G. W. Optical coating design approaches based on the needle optimization technique. Appl. Opt. 46, 704–710 (2007). 37. Boyd, S. & Grant, M. CVX: Matlab software for disciplined convex programming. 20

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