D'Zmura M, Iverson G
Department of Cognitive Sciences, University of California, Irvine 92717.
J Opt Soc Am A Opt Image Sci Vis. 1994 Sep;11(9):2398-400. doi: 10.1364/josaa.11.002389.
We present a color-constancy algorithm that uses quantum-catch data from reflected lights to recover surface reflectance functions and illuminant spectral power distributions. The algorithm recovers both surface and light-source spectral properties simultaneously. The method works in all situations that were handled by the earlier two-stage algorithms of Maloney and Wandell [J. Opt. Soc. Am. A 3, 29 (1986)] and D'Zmura and Iverson [J. Opt. Soc. Am. A 9, 490 (1992); 10, 2148, 2166 (1993); 11, 1970 (1994)]. In addition, the method handles problems that lie outside the scope of earlier algorithms. Using this method, a trichromatic visual system can recover, when provided adequate information, spectral descriptions of arbitrarily high accuracy for lights and surfaces. We determine conditions under which bilinear models can be used to recover color properties uniquely with the new procedure, and we formulate an algorithm for checking whether a particular bilinear model provides perfect color constancy. This research extends our analysis of linear methods for color constancy begun earlier [J. Opt. Soc. Am. A 10, 2148, 2166 (1993)].
我们提出了一种颜色恒常性算法,该算法利用来自反射光的量子捕获数据来恢复表面反射率函数和光源光谱功率分布。该算法能同时恢复表面和光源的光谱特性。该方法适用于由马洛尼(Maloney)和万德尔(Wandell)[《美国光学学会志A》3, 29 (1986)]以及德祖拉(D'Zmura)和艾弗森(Iverson)[《美国光学学会志A》9, 490 (1992); 10, 2148, 2166 (1993); 11, 1970 (1994)]早期的两阶段算法所处理的所有情况。此外,该方法还能处理早期算法范围之外的问题。使用这种方法,一个三色视觉系统在获得足够信息时,可以恢复对光和表面具有任意高精度的光谱描述。我们确定了在何种条件下可以使用双线性模型通过新方法唯一地恢复颜色特性,并制定了一种算法来检查特定的双线性模型是否能提供完美的颜色恒常性。这项研究扩展了我们早期[《美国光学学会志A》10, 2148, 2166 (1993)]对颜色恒常性线性方法的分析。