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A new edge-adaptive zooming algorithm for digital images

机译:数字图像的新边缘自适应变焦算法

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In this paper we address the problem of producing an enlarged picture from a given digital image (zooming). We propose a method that tries to take into account information about discontinuities or sharp luminance variations while doubling the input picture. This is realized by a multiple scan of the zoomed image and could hence be implemented with limited computational resources. The algorithm works on monochromatic images, but it is easily adapted to zoom RGB color pictures. Our experiments show that the proposed method beats in quality pixel replication and bilinear interpolation. Moreover our algorithm is competitive both for quality and efficiency with bicubic interpolation.
机译:在本文中,我们解决了从给定的数字图像(缩放)产生放大图片的问题。我们提出了一种方法,该方法试图考虑有关不连续性或尖锐亮度变化的信息,同时将输入图片加倍。这是通过对缩放图像的多次扫描来实现的,因此可以用有限的计算资源实现。该算法适用于单色图像,但很容易适应缩放RGB颜色图片。我们的实验表明,所提出的方法在质量像素复制和双线性插值中节拍。此外,我们的算法对于使用双向插值的质量和效率竞争。

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