教師資料查詢 | 類別: 期刊論文 | 教師: 謝景棠 Hsieh Ching-tang (瀏覽個人網頁)

標題:Image Inpainting Based on Geometric Similarity
學年101
學期1
出版(發表)日期2012/12/01
作品名稱Image Inpainting Based on Geometric Similarity
作品名稱(其他語言)
著者Hung, Kuo-ming; Chen, Yen-liang; Hsieh, Ching-tang
單位淡江大學電機工程學系
出版者Calgary: ACTA Press
著錄名稱、卷期、頁數International Journal of Computers and Applications 34(1), pp.11-18
摘要This paper proposed a new image inpainting method for restoring a large damaged area in the images called the “Geometric Image Inpainting Method (GII)”. The method was developed in response to several common problems encountered in the image inpainting process and provided a high-quality result compared to human vision. In the field of image inpainting, there are three key issues: texture analysis, repairing order and reconstruction of lost image pixels. Though there have been a lot of researches published, few combined all three key issues in their studies. We propose a novel image inpainting method integrating all three key issues at the same time. Experiments showed that the proposed image inpainting method offered better results than other existed methods.
關鍵字Image Inpainting; Wavelet Transform; Repair Order; Fractal Geometry; GII
語言英文(美國)
ISSN1206-212X;1925-7074
期刊性質國外
收錄於EI
產學合作
通訊作者Hsieh, Ching-tang
審稿制度
國別加拿大
公開徵稿
出版型式紙本;電子版
相關連結
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