Enhancement by image-dependent warping
Enhancement by image-dependent warping
复制标题
通过图像相关的变形进行增强
DOI：
--
复制
发表时间：
1999
影响因子：
10.6
通讯作者：
C. Gotsman
中科院分区：
文献类型：
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作者：
Nur Arad;C. Gotsman
迄今为止，所有图像变形算法都是与图像无关的，即仅与图像平面的几何形状相关，而忽略图像的内容。我们表明，考虑图像内容会产生精心设计的扭曲方案，可用于增强、锐化和缩放图像。锐化图像是通过“挤压”边缘区域的像素和“拉伸”平坦区域的像素来实现的。由于图像像素仅被移动而不被修改，因此避免了经典线性滤波方法的一些缺点。我们还为在传统变形应用（例如失真最小化）中使用图像相关变形方案奠定了数学基础。
All image warping algorithms to date are image-independent, namely, relate only to the geometry of the image plane, ignoring the content of the image. We show that taking the image content into account yields elaborate warping schemes which may be used to enhance, sharpen and scale images. Sharpening the image is achieved by "squashing" the pixels in edge areas, and "stretching" the pixels in flat areas. Since image pixels are only moved, not modified, some drawbacks of classical linear filtering methods are avoided. We also lay the mathematical foundation for the use of an image-dependent warping scheme in traditional warping applications, such as distortion minimization.