Exemplar-Based Image Inpainting Using Color Distribution Analysis

This paper proposes a novel exemplar-based inpianting algorithm based upon the color distribution analysis. A novel priority scheme is designed to assign priority and guide the filling-in order, which is a crucial step for the performance of the inpainted results. Color distribution is proposed to determine the confidence of the target patches situated on the boundary of the missing region by measuring the variation of variances of neighboring source patches. Our experiments on the natural images and the comparisons with the representative existing approaches show that our proposed scheme can more robustly assign high priority to the structures and enables the salient structures, to which human visual system is sensitive, to be consistent with the surrounding regions.

並列關鍵字

image inpainting ； texture synthesis ； completion ； color distribution analysis ； illumination variation

被引用紀錄

Zhan, K. Z. (2015). 無人載具遙測影像之移動模糊偵測及影像修復 [master's thesis, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2015.00834

Huang, S. G. (2016). 時頻分析與線性完整轉換 [doctoral dissertation, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU201601090

吳宗翰（2015）。以網路評論為基礎之見解探勘系統框架〔碩士論文，逢甲大學〕。華藝線上圖書館。https://doi.org/10.6341/fcu.M0201999

賴世哲（2012）。一個新的基於模範的視訊修補方法使用連續畫面來源區域〔碩士論文，朝陽科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0078-1511201214173064

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Exemplar-Based Image Inpainting Using Color Distribution Analysis

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