透過您的圖書館登入
IP:18.221.236.224
  • 學位論文

使用二階多項式近似的權重邊緣增強內插法

Enhanced Edge-Weighted Image Interpolation Using the Second-order Polynomial Approximation

指導教授 : 蔡明傑
若您是本文的作者,可授權文章由華藝線上圖書館中協助推廣。

摘要


現今的數位顯示技術中,內插演算法是對影像縮放而言,非常重要的技術,尤其是近年來液晶螢幕的尺寸越來越大。然而傳統的內插演算法擁有非常嚴重的缺點,包括邊緣的格狀效應以及影像的模糊狀態等等。為了改善這些情況,往往又需要複雜的架構和龐大的成本.本篇論文提出了一種使用權重邊緣的多項式內插法來做影像縮放的處理,以改善邊緣的銳力度及影像的清晰度。研究結果顯示所提出的方法在影像的清晰度與邊緣銳利度上都優於傳統演算法,至於硬體實現的複雜度也相較簡單。

並列摘要


With the increasing use of digital monitor technique, requirements for image interpolation have become more critical. Especially, the development of LCD screen sizes has grown up. However, the traditional algorithms have several serious disadvantages. First of all, the blocking effect and poor quality exist throughout the results. In order to enhance quality of image. , we present the second order polynomial approximation by used edge model. This method improves sharp of edge and resolution of image. The findings suggest that the propose method can reduce complex and that have high quality.

參考文獻


[2] B. Scarborough, and J. Blaine, Numerical mathematical analysis, Johns Hopkins Press, Baltimore, 1985.
[3] A. Pratt, and K. William, Digital image processing, Wiley, N.Y., 1978.
[4] R. Keys, “Cubic Convolution Interpolation for Digital Image Processing,” IEEE Trans. Signal Processing, vol. 29, pp. 1153 - 1160, 1981.
[5] M. Ekstrom, and P. Michael, Digital image processing techniques, Academic Press, New York, 1984.
[6] J. W. Hwang and H. S. Lee, “Adaptive Image Interpolation Based on Local Gradient Features,” IEEE Signal Processing Letters, vol. 11, pp. 359-362, 2004

延伸閱讀