由於循序掃描顯示器日漸普及,去交錯演算法的需求也與日俱增,所以電視系統中觀賞交錯式掃描的電視節目,必須先對交錯式掃描的電視節目訊號作去交錯的處理,但在去交錯處理過後,容易產生影像失真的情況。 本篇論文主要研究目的是將去交錯處理後的影像失真情形加以改善,利用在線重覆法之去交錯架構下設計鄰近像素相關性演算法,並且以實驗證明改善畫面失真狀況並有效的提升畫面品質。 我們將去交錯後之影像中的掃描線像素訊號做線性運算處理,使用Verilog HDL將本演算法於FPGA實現相鄰兩線平均運算法、拉普拉斯運算法、索貝爾運算法與本文其它相關的延伸方式做即時的影像處理並實現,並以主觀的角度比較處理前後影像畫面品質。
The main goal of this research is using the post de-interlacing processing to improve the image distortion situations. A neighboring pixel scan lines algorithm is proposed to reduce the visual artifact caused by line doubling de-interlacing method. After a series of experiments, this method has been proofed to improve image quality effectively. Line averaging, Laplacian, Sobel and other extended proposed methods are implemented by DE2 FPGA real-time development system with Verilog HDL. The quality of images from these methods are compared and measured by eye inspection.