請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/53744
標題: | 攝影影像之重新構圖與影像調整 Recomposition and Retargeting of Photographic Images |
作者: | Hui-Tang Chang 張惠棠 |
指導教授: | 陳銘憲(Ming-Syan Chen) |
關鍵字: | 攝影構圖,圖形配對,影像美學,計算攝影學, Photography composition,graph matching,image aesthetics,computational photography, |
出版年 : | 2015 |
學位: | 碩士 |
摘要: | 本篇論文提出一個新的重新構圖與影像調整之方法,目標為自動將參考影像之構圖轉換至給定之來源影像上,輸出的影像之長寬比亦會調整至與參考影像相同。過去的方法大多使用了既定之攝影美學規則來作為調整影像之依據,然而我們僅需要一張參考影像。我們的方法主要利用圖形配對之方式決定參考影像與來源影像之前景配對,接著使用不規則變形最佳化的方式來調整影像,並盡量降低影像之扭曲。多組實驗驗證了我們提出之方法的可靠性。 With the goal of improving image aesthetics, we propose a novel approach for performing joint recomposition and retargeting of photographic images (R2P). Based on a reference image of interest, we aim at automatically altering the composition of the input source image, while the recomposed output will be jointly retargeted to fit the reference accordingly. Different from existing approaches which utilize pre-determined rules for improving image aesthetics, we only require one source-reference image pair as the input. Our R2P is achieved by recomposing the visual components of the source image via graph matching, followed by solving a constrained mesh-warping based optimization problem for retargeting. As a result, the recomposed output image would fit the reference while suppressing possible distortion. Our experiments confirm that our method is able to achieve visually satisfactory results, without the need to use pre-collected labeled data or predetermined aesthetics rules. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/53744 |
全文授權: | 有償授權 |
顯示於系所單位: | 電機工程學系 |
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ntu-104-1.pdf 目前未授權公開取用 | 28.28 MB | Adobe PDF |
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