利用傅利葉轉換來探討顯示器疊紋於人眼視覺之模擬與消除

Abstract

本論文研究為分析與消除液晶顯示器的疊紋出現。利用傅利葉轉換與兩種人眼視覺的模組來做為疊紋嚴重性的分析與判斷，兩種人眼視覺模組分別為(1)對比敏感度與(2)亮度反應。為了改善計算上的效率，我們介紹亮度影像。我們使用粒子群聚演算法(PSO)在搜尋的範圍內去尋找到消除疊紋現象的最佳解。這個驗證的結果表示我們可以預先知道疊紋圖案與判斷疊紋的嚴重程度。在我們的設計的例子中，我們可以經由粒子群聚演算法找到沒有疊紋的區間。

In this study, we analyze and eliminate moiré image arising from the liquid crystal display (LCD). The analysis and judgment of moiré degradation is based on Fourier transformation and two models of human visions: (1) contrast sensitivity and (2) lightness response. To improve the computational efficiency, we introduce the luma image. The elimination of moiré behavior is to search optimum solution in the searching space through the particle swarm optimization (PSO). The verification result shows that we can predict moiré pattern and judge moiré severity score. The moiré free range can be found by PSO in the design example.