教師資料查詢 | 類別: 會議論文 | 教師: 顏淑惠 Yen Shwu-huey (瀏覽個人網頁)

標題:Image completion using sample synthesis
學年105
學期2
發表日期2017/03/27
作品名稱Image completion using sample synthesis
作品名稱(其他語言)
著者Shwu-Huey Yen, Hsien-Yang Li, Po-Yen Kuo
作品所屬單位
出版者
會議名稱The 31st IEEE International Conference on Advanced Information Networking and Applications (AINA-2017)
會議地點Taipei, Taiwan
摘要The issue of image completion is well developed in these years. Most of them reconstruct damaged area by referring to the under-repaired images themselves. However, they may fail if damaged portion collapse their structure which is unique and important. We propose to use an external reference image to repair the damaged image and the method provides the following three contributions: (1) an algorithm of fast contour matching is proposed to repair damaged images by referring to external sample images. Critical structural information can be rebuilt which is missing in original damaged area. (2) An algorithm of fragment color transform is proposed to resolve the problem of creating false transform to non-existent color if traditional histogram specification were used. (3) An algorithm of K map threshold weighted synthesis is proposed to resolve the problem of creating false textures caused by non-existence of similar block in original damaged area. Several experiments are executed and the results clearly indicate that defects mentioned above are able to fix more efficiently. Especially, the present method shows good performance for texture accommodation in the joint area. Therefore, it is ideal for the task of completing images with unique structure missing in the damaged area.
關鍵字image completion, fragment color transform,K map threshold weighted synthesis
語言英文(美國)
收錄於
會議性質國際
校內研討會地點台北校園
研討會時間20170327~20170329
通訊作者
國別中華民國
公開徵稿
出版型式
出處Proceedings of The 31st IEEE International Conference on AINA, 2017, pp. 328-335
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