有鑑於台灣顯示器產業蓬勃發展，無論在高階的家用顯示器或是小型手持式產品，甚至醫療用顯示器，對於顯像的品質要求越來越高。其中，影像的色彩調整是一項重要的課題，因此本研究提出一個類似於CIE-LAB的對立色色空間LSN(明度/膚色/非膚色，lightness/skin/non-skin)，基於LSN色空間提出一套具有影像內容相依性的(image dependant)自動化膚色喜好色修正演算法，在兼顧影像彩度連續性及平滑度，並維持背景色不變之前提下，針對影像中的膚色進行細緻的增強或減弱。
本研究亦針對膚色之喜好色在CIE-LAB色空間中的分佈情形進行分析研究，歸納出以下結果。明度在55到80之間，色相在40°到55°之間，彩度在15到25之間，為約略的膚色喜好色分佈範圍。膚色喜好色修正結果也根據上述之喜好色實驗進行示範計算。

Color correction is one of important issues in high quality display systems and even medical display systems. An opponent color space similar to CIE-LAB color space, LSN (lightness/skin/non-skin), is proposed in this research. An automatic preferred skin-color correction technology which depends on content of images is developed in LSN color space. While keeping smooth and continuous colorimetric variation as well as background unchanged, this algorithm could modify skin-color areas in images delicately.
In this research, a preferred skin-color experiment was also held to find a colorimetric range in LAB color space that fit most Taiwanese’ vision preference. Ranges of each color property, 55 to 80 in lightness, 40° to 55° in hue and 15 to 25 in chroma, are concluded from result of the experiment. Color correction results in this paper are computed in correspondence with above result.

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