https://orcid.org/0000-0002-0045-3160
References
- Barnard K, Cardei V, Funt B. 2002. A comparison of computational color constancy algorithms I: methodology and experiments with synthesized data. IEEE T Image Process. 11(9):972–983.
- Buchsbaum G. 1980. A spatial processor model for object colour perception. J Franklin Inst. 310(1):1–26.
- Cheng D, Prasad DK, Brown MS. 2014. Illuminant estimation for color constancy: why spatial-domain methods work and the role of the color distribution. J Opt Soc Am A. 31(5):1049–1058.
- Chikane V, Fuh CS. 2006. Automatic white balance for digital still cameras. J Inf Sci Eng. 22:497–509.
- Ciurea F, Funt B. 2003. A large image database for color constancy research. Proceedings of the 11th Color Imaging Conference; 2003 Nov 4–7; Scottsdale, AZ. p.160–164.
- Finlayson GD, Trezzi E 2004. Shades of gray and colour constancy. 12th Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications; 2004 Nov 9–12; Scottsdale, AZ. p. 37–34.
- Gehler PV, Rother C, Blake A, Minka T, Sharp T. 2008. Bayesian color constancy revisited. IEEE Conference on Computer Vision and Pattern Recognition (CVPR); 2008 Jun 23–28; Anchorage, AK. p. 1–8.
- Houser KW, Wei M, David A, Krames MR. 2014. Whiteness perception under LED illumination. Leukos. 10(3):165–180.
- Huang HP, Wei M, Ou LC. 2018. White appearance of a tablet display under different ambient lighting conditions. Opt Express. 26(4):5018–5030.
- Huo J, Chang Y, Wang J, Wei X. 2006. Robust automatic white balance algorithm using gray color points in images. IEEE T Consum Electr. 52(2):541–546.
- Lam EY. 2005. Combining gray world and Retinex theory for automatic white balance in digital photography. Proceedings of the 9th International Symposium on Consumer Electronics; 2005 Jun 14–16; Macau, China. p.134–139.
- Lam HK, Au OS, Wong CW. 2004. Automatic white balancing using standard deviation of RGB components. Proceedings of the 2004 International Symposium on Circuits and Systems; 2004 May 23–26; Vancouver, BC. p.921–924.
- Land EH, McCann JJ. 1971. Lightness and retinex theory. J Opt Soc Am. 61(1):1–11.
- Lee J, Jung Y, Kim B, Zen H. 2001. An advanced video camera system with robust AF, AE, and AWB control. IEEE T Consum Electr. 47(3):694–699.
- Limare N, Lisani J, Morel J, Petro A, Sbert C. 2011. Simplest color balance. Image Process Line. 1:297–315.
- Liu YC, Chan WH, Chen YQ. 1995. Automatic white balance for digital still camera. IEEE T Consum Electr. 41(3):460–466.
- Lukac R. 2008. Single-sensor imaging: methods and applications for digital cameras. Boca Raton (FL): CPC Press.
- Sharma G, Bala R. 2003. Digital color imaging handbook. Boca Raton (FL): CPC Press.
- Sumner R. 2014 May 19. Processing RAW images in MATLAB [accessed 2018 May 11]. https://users.soe.ucsc.edu/~rcsumner/rawguide/RAWguide.pdf.
- Wei M, Houser KW. 2012. Status of solid-state lighting based on entries to the 2010 US DOE Next Generation Luminaire Competition. Leukos. 8(4):237–259.
- Wei M, Houser KW, David A, Krames MR. 2015. Perceptual responses to LED illumination with colour rendering indices of 85 and 97. Lighting Res Technol. 47(7):810–827.
- Weijer J, Gevers T, Gijsenij A. 2007. Edge-based color constancy. IEEE T Image Process. 16(9):2207–2214.
- Zapryanov G, Ivanova D, Nikolova I. 2012. Automatic white balance algorithms for digital still cameras - a comparative study. Inf Techno Control. 1:16–22.