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

標題:Progressive Completion of a Panoramic Image
學年105
學期2
出版(發表)日期2017/05/02
作品名稱Progressive Completion of a Panoramic Image
作品名稱(其他語言)
著者Shwu-Huey Yen; Hao-Yu Yeh; Hsiao-Wei Chang
單位
出版者
著錄名稱、卷期、頁數Multimedia Tools and Applications 76(9), p.11603–11620
摘要This paper proposes an exemplar-based modified priority belief propagation (MP-BP) method to complete a stitched panorama. The result is an image with a rectangular boundary in which the missing area is filled by a visually plausible background that copies the appearance of the source region. Global optimization is usually preferable to greedy algorithms for image completion. Komodakis (IEEE Trans. Image Process. 16 (11): 2649–2661, 2007) proposed a priority BP method, which is expressed in the form of a discrete global optimization problem with an MRF energy function. However, this priority BP method cannot be directly applied to stitched panoramas completing problem because there are very few useful messages. Instead, a progressive way to expand the boundary is proposed. The main contributions of this study are: (1) it defines a progressive way in which to apply a Markov Random Field (MRF) model to complete panoramas; (2) it defines a priority term that integrates the concepts of “confidence” and “breadth first”, to guide the filling order; and (3) a restricted source region and clustered candidate patches are used, to alleviate computation complexity. A number of examples of real stitched panoramas demonstrate the effectiveness of this algorithm. The results compare favorably with those obtained using existing techniques.
關鍵字Panorama;Image completion;Belief propagation (BP);MARKOV Random Field (MRF)
語言英文
ISSN1573-7721
期刊性質國外
收錄於SCI;
產學合作
通訊作者Shwu-Huey Yen
審稿制度
國別荷蘭
公開徵稿
出版型式,電子版
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