Adaptable Image Interpolation with Skeleton - Texture Separation
Adaptable Image Interpolation with Skeleton - Texture Separation
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具有骨架的自适应图像插值 - 纹理分离
DOI：
10.1109/icip.2006.312502
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
T. Komatsu
中科院分区：
文献类型：
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作者：
T. Saito;Yuki Ishii;Yousuke Nakagawa;T. Komatsu
本文提出了一种自适应插值方法，可以根据用户对图像质量的喜好调整图像边缘的清晰度和纹理强度，从而重建出高质量的图像。我们的插值方法首先将输入图像I分解为其骨架图像U及其纹理生成器V和残差图像D，使I=U·V+D，然后使用适合于每个分量的适当插值方法对三个分量分别进行独立插值。骨架图像是一个有界变函数，即I的动画近似，并使用超分辨率去模糊过采样方法进行插值，该方法可以插值尖锐边缘而不会产生环形伪影。纹理生成器是一个表示规则的不同纹理的振荡函数，并使用标准的线性插值算法进行插值。残差图像是一个具有一定随机性的函数，采用统计重采样插值算法进行插值。
This paper presents an adaptable interpolation approach that can adjust edge sharpness and texture intensity to reconstruct a high quality image according to user's taste in picture quality. Our interpolation approach first resolves an input image I into its skeleton image U and its texture generator V and its residual image D such that I=U·V+D, and then interpolates each of the three components independently with a proper interpolation method suitable to each. The skeleton image is a bounded-variation function meaning a cartoon approximation of I, and interpolated with a super-resolution deblurring-oversampling method that interpolates sharp edges without producing ringing artifacts. The texture generator is an oscillatory function representing regular distinct textures, and interpolated with a standard linear interpolation algorithm. The residual image is a function with some randomness, and interpolated with a statistical re-sampling interpolation algorithm.