图像缩放的图像插值方法比较

Krishnamoorthy, Subhashish Goswami
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引用次数: 0

摘要

数字图像处理领域的主要方法是缩放。当使用缩放时,需要一个高质量的图像,以便将图像放大到指定的放大系数[1]。当放大图像或放大时,通常采用数字图像插值技术。它们也越来越受欢迎,用于创建数码相机的产品应用。缩小被认为是采样不足,放大被认为是过度采样。在本研究中,我们使用线性方法对图像进行升级,并将它们相互对比。然而,所有这些技术都存在阻塞、混叠、模糊和其他伪影的问题。我们将尝试超越上面指出的对象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of Image Interpolation Methods for Image Zooming
The primary approach in the realm of digital image processing is zooming. Image When using zooming, a high-quality image is required in order to enlarge the image to the specified magnification factor [1]. When enlarging images, or zooming in, digital image interpolation techniques are commonly employed. They are also becoming more and more popular for creating product applications with digital still cameras. While shrinking is considered under-sampling, zooming is considered over-sampling. In this study, we upscale the image using linear methods and contrast them against one another. However, all of these techniques have problems with blocking, aliasing, blurring, and other artefacts. We'll try to get beyond the objects indicated above.
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