精确的图像旋转使用DCT变换

X. Fu, Y. Wan
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引用次数: 4

摘要

图像旋转是图像处理的重要组成部分,用途广泛。许多领域都要求高精度和高稳定性,微小的误差可能导致完全不同的判断。传统的三种插值方法:最接近法、双线性法和双三次插值法无法达到精度要求。厄米特法在大多数情况下似乎是准确的,但在小范围内精度极低。本文提出了一种新的图像旋转方法。该方法在与未知点最近的整数点周围取一个n × n的块,在块内进行二维DCT变换得到频域信息,然后在n × n块内对未知像素进行二维IDCT插值。该方法不仅比传统的插值法精度高,而且比厄米特插值法更稳定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accurate image rotation using DCT transformation
Image rotation is an important part of image processing for its wide range of uses. High precision and stability are demanded in many fields, and subtle errors may cause completely different judgment. With conventional three interpolation approaches: nearest, bilinear and bicubic, they cannot reach accuracy requirement. Using Hermite method appears to be accurate in most cases, but it's accuracy is extremely low in a small range. In this paper, we propose a novel image rotation method. This method takes out an n × n block around the point which is the nearest integer point around the unknown point and performs 2-dimensions DCT transformation in the block to obtain the frequency domain information, then interpolate the unknown pixel by performing its 2-dimensions IDCT in the n × n block. Our method can be not only more accurate than the conventional interpolation but more steady than Hermite method.
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