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基于色度-亮度全变分模型的彩色图像放大 被引量:1

Color Image Magnification Based on Chromaticity-Brightness Total Variation Model
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摘要 采用传统插值法放大的图像存在边缘锯齿化和边缘模糊化缺点。针对该问题,在分析图像复原全变分模型的基础上,将色度-亮度全变分复原模型用于彩色图像放大,使图像放大问题转化为图像修补问题。实验结果证明,该方法能保持放大后图像边缘的光滑与清晰。 The images magnified by traditional interpolation method have shortages such as blurred edges and jagged edges. Aiming at this problem and based on the analysis of the Total Variation(TV) model used in image restoration, this paper adopts Chromaticity-Brightness TV restoration model to color image magnification and transforms image magnification problem into image mending. Experimental results show that the method can keep the lubricity and definition of magnified image edges.
出处 《计算机工程》 CAS CSCD 北大核心 2009年第21期211-212,215,共3页 Computer Engineering
基金 国家部委基础研究基金资助项目 陕西省自然科学基金资助项目(2006F42)
关键词 图像放大 全变分模型 插值 image magnification Total Variation(TV) model interpolation
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  • 1Morse B S, Schwartzwald D. Image Magnification Using Level-set Reconstruction[C]//Proc. of IEEE Conference on Computer Vision and Pattern Recognition. [S. l.]: IEEE Computer Society, 2001.
  • 2Chan T F, Shen Jianhong. Mathematical Models for Local Nontexture lnpaintings[J]. SIAM J. on Applied Mathematics, 2002, 62(3): 1019-1043.
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  • 4Tony F, Osher S, Shen Jianhong. The Digital TV Filter and Nonlinear Denoising[J]. IEEE Transactions on Image Processing, 2001, 10(2): 231-241.
  • 5Chan T F, Kang Sungha. Total Variation Denoising and Enhancement of Color Images Based on the CB and HSV Color Models[J]. Journal of Visual Communication and Image Representation, 2001, 12: 422-435.

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