透過您的圖書館登入
IP:3.17.139.45

並列摘要


Image inpainting automatically restores damaged images and partially removed pictures. Since most inpainting mechanisms inpaint damaged portions in a single layer, this study proposes a multilayer inpainting mechanism by examining how Chinese paintings are drawn in layers. The proposed multilayer inpainting mechanism employs a layer fusion strategy to detect the optimal inpaint combination among layers to restore paintings. Because this multilayer multi-resolution strategy considers damages in each layer from a multi-resolution perspective, it is superior to several existing techniques for restoring Chinese and Western paintings. In this study, the proposed algorithm is tested on more than 1,500 still images, with evaluations showing the effectiveness of image inpainting. The results indicate that the proposed algorithm achieves high PSNR values as well as high user satisfactions, including inpainting in some extreme cases where more than ninety percent of a painting are destroyed.

被引用紀錄


Lin, H. W. (2007). 適性化課程元件再利用性之研究 [doctoral dissertation, Tamkang University]. Airiti Library. https://doi.org/10.6846/TKU.2007.00318
胡致宇(2006)。植基於影像處理技術之網路醫療輔助診斷系統〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2006.00775
李詩婷(2006)。基於影像復原之柵欄移除技術〔碩士論文,國立臺灣師範大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0021-0712200716122998

延伸閱讀