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Image Interpolation Techniques in Digital Image Processing: An Overview

机译:数字图像处理中的图像插值技术:概述

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In current digital era the image interpolation techniques based on multi-resolution technique are being discovered and developed. These techniques are gaining importance due to their application in variety if field (medical, geographical, space information) where fine and minor details are important. This paper presents an overview of different interpolation techniques, (nearest neighbor, Bilinear, Bicubic, B-spline, Lanczos, Discrete wavelet transform (DWT) and Kriging). Our results show bicubic interpolations gives better results than nearest neighbor and bilinear, whereas DWT and Kriging give finer details.
机译:在当前的数字时代,基于多分辨率技术的图像插值技术正在被发现和发展。由于这些技术在各种各样的领域(医学,地理,空间信息)中对精细和次要细节很重要的应用中,因此它们变得越来越重要。本文概述了不同的插值技术(最近邻,双线性,双三次,B样条,Lanczos,离散小波变换(DWT)和Kriging)。我们的结果表明,双三次插值法比最近邻法和双线性法插值法更好,而DWT和Kriging法则能提供更好的细节。

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