老舊立體影像之修復

Abstract

影像的修復一直是電腦視覺領域中一個重要的課題，它包含了多種電腦視覺技術，如去雜訊、偵測、重新打光、顏色轉移、圖像修復...等。本論文的目的在於修復老舊立體照片的雜訊及亮度問題，利用從立體照片獲得的資訊結合現有的照片修復技術，去加強照片修復的效果。並藉由此項改進，提升使用者對老舊照片的立體視覺體驗。

Image restoration has been a major subject of computer vision. Repairing damaged photos requires several computer vision techniques such as denoising, detection, relighting, color-transfer, and inpainting. In this thesis, we proposed an automatic system to repair noise and light inconsistency problems. Our approach combined modern image restoration techniques with additional information gathered from stereoscopic photographs to enhance the effect of image restoration and optimize stereoscopic experience of old stereoscopic photographs.