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

標題:The Highly Lose Image Inpainting Method Based on Human Vision
學年95
學期1
發表日期2006/09/01
作品名稱The Highly Lose Image Inpainting Method Based on Human Vision
作品名稱(其他語言)
著者Hsieh, Ching-tang; Lai, E.; Yang, Ping-Da; Chen, Yen-Liang
作品所屬單位淡江大學電機工程學系
出版者
會議名稱Int. Conf. on Innovative Computing, Information and Control
會議地點Beijing, China
摘要Currently, noise interference and data loss are two major problems that affect the processing results of image data transmission and storage. In order to restore damaged image data effectively, we propose a novel image inpainting technique based on wavelet transformation. The primary feature of our proposed technique is to separate the given image into two principal components which encompass image texture and color respectively. Then, according to the distinctive qualities of the given image, various image inpainting methods are adopted to perform image repair. By taking advantage of the separation of an image into its individual frequency components, we use the multi-resolution characteristics of wavelet transform, from the lowest spatial-frequency layer to the higher one, to analyze the image from global-area to local-area progressively. In order to substantiate the effectiveness of our proposed image inpainting method, we employed various images subject to high noise interference and/or extensive data loss or distortion. The experimental results were perfect, even if the distortion portions of the repaired images were higher than 90%
關鍵字
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20060901~20060901
通訊作者
國別中國
公開徵稿
出版型式
出處Int. Conf. on Innovative Computing, Information and Control, China, pp.697-700
相關連結
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