利用光谱外推法进行图像放大

K. Aoyama, R. Ishii
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引用次数: 5

摘要

提出了一种产生图像频谱高频成分的图像放大算法。为了估计高频成分,作者研究了Gerchberg-Papoulis迭代算法和各种外推方法。作者将该算法应用于数字图像。在该算法的应用中,存在一个严重影响算法效率的问题。作者提出了两种技术来克服这个问题。利用这些技术,作者可以获得更高质量的放大图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image magnification by using spectrum extrapolation
Presents a new image magnification algorithm that produces high frequency components of the spectrum of an image. To estimate high frequency components, the authors investigate the iterative algorithm of Gerchberg-Papoulis with various extrapolation methods. The authors apply this algorithm to digital images. In the application of this algorithm, there is one problem that greatly affects its efficiency. The authors propose two techniques to overcome this problem. Using these techniques, the authors can obtain magnified images with higher quality.<>
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