本篇論文提出了一個適應性的內插演算法,是對於近似多項式內插法其鄰近點斜率分析為適應性。傳統的演算法有模糊或格狀效應的缺點。為了改善這些問題設計出很多邊緣偵測的方法,但邊緣偵測是高複雜度且高成本的設計架構。研究結果顯示,提出的方法在PSNR值上高出雙立方內插法0.4dB。除此之外,影像銳利度也比其他演算法高。本論文提出了一個不但能增強邊緣而且有較好影像品質的演算法。並以Altera CycloneII FPGA來完成硬體的實現,將SVGA(800×600)的視訊格式即時轉換至WXGA(1280×768)(60畫面/每秒)的全彩畫面格式,顯示在液晶面板上。
This thesis presents an adaptive image interpolation algorithm based on the slope analysis of adjacent pixel gray values for an approximate polynomial method. Conventional interpolation methods have several drawbacks, such as blurring or blocky effects. Many edge detect methods have been widely used to avoid these problems but are notorious for high complexity and cost. Simulation results show that PSNR value of proposed algorithm is higher than bicubic algorithm around 0.4dB. Besides, sharpness of proposed algorithm is also much higher than that of other ones. In this thesis, an algorithm which not only enhances edge but also gets better image quality algorithm is proposed. The FPGA implementation of the proposed video scaling algorithm is from SVGA to WXGA on the TFT-LCD plane at the real time video rate of 60 frames/sec.