| A Novel Variational Image Model: Towards a Unified Approach to Image Editing |
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| 作者姓名： | Yun Zeng Wei Chen and Qun-Sheng Peng |
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| 作者单位： | State Key Lab of CAD＆CG, Zhejiang University, Hangzhou 310027, P.R. China |
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| 基金项目： | A preliminary version of this paper appeared in Proc. Pacific Graphics 2005, Macau. This work is partially supported by the National Basic Research 973 Program of China （Grant No. 2002CB312100）, the National Natural Science Foundation of China （Grant No. 60403038）, the National Natural Science Foundation of China for Innovative Research Groups （Grant No. 60021201）. |
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| 摘 要： | In this paper we propose a unified variational image editing model. It interprets image editing as a variational problem concerning the adaptive adjustments to the zero- and first-derivatives of the images which correspond to the color and gradient items. By varying the definition domain of each of the two items as well as applying diverse operators, the new model is capable of tackling a variety of image editing tasks. It achieves visually better seamless image cloning effects than existing approaches. It also induces a new and efficient solution to adjusting the color of an image interactively and locally. Other image editing tasks such as stylized processing, local illumination enhancement and image sharpening, can be accomplished within the unified variational framework. Experimental results verify the high flexibility and efficiency of the proposed model.
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| 关 键 词： | 图象编辑 图象复制 颜色修正 格式化处理 锐化处理 |
| 收稿时间： | 2005-12-06 |
| 修稿时间： | 2005-12-06 |
A Novel Variational Image Model: Towards a Unified Approach to Image Editing |
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| Yun Zeng,Wei Chen,and Qun-Sheng Peng.A Novel Variational Image Model: Towards a Unified Approach to Image Editing[J].Journal of Computer Science and Technology,2006,21(2):224-231. |
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| Authors: | Yun Zeng Wei Chen Qun-Sheng Peng |
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| Affiliation: | (1) State Key Lab of CAD&CG, Zhejiang University, Hangzhou, 310027, P.R. China |
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| Abstract: | In this paper we propose a unified variational image editing model. It interprets image editing as a variational problem concerning the adaptive adjustments to the zero- and first-derivatives of the images which correspond to the color and gradient items. By varying the definition domain of each of the two items as well as applying diverse operators, the new model is capable of tackling a variety of image editing tasks. It achieves visually better seamless image cloning effects than existing approaches. It also induces a new and efficient solution to adjusting the color of an image interactively and locally. Other image editing tasks such as stylized processing, local illumination enhancement and image sharpening, can be accomplished within the unified variational framework. Experimental results verify the high flexibility and efficiency of the proposed model. |
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| Keywords: | image editing image cloning image color repairing stylized processing image sharpening |
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