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 en_US
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 TWN
公開徵稿
出版型式
出處 Proceedings of The 31st IEEE International Conference on AINA, 2017, pp. 328-335
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/112052 )