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Alpha-Rooting Method of Color Image Enhancement by Discrete Quaternion Fourier Transform

机译:离散四元数傅立叶变换增强彩色图像的Alpha求根方法

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This paper presents a novel method for color image enhancement based on the discrete quaternion Fourier transform. We choose the quaternion Fourier transform, because it well-suited for color image processing applications, it processes all 3 color components (R,G,B) simultaneously, it capture the inherent correlation between the components, it does not generate color artifacts or blending , finally it does not need an additional color restoration process. Also we introduce a new CEME measure to evaluate the quality of the enhanced color images. Preliminary results show that the α-rooting based on the quaternion Fourier transform enhancement method out-performs other enhancement methods such as the Fourier transform based a-rooting algorithm and the Multi scale Retinex. On top, the new method not only provides true color fidelity for poor quality images but also averages the color components to gray value for balancing colors. It can be used to enhance edge information and sharp features in images, as well as for enhancing even low contrast images. The proposed algorithms are simple to apply and design, which makes them very practical in image enhancement.
机译:本文提出了一种基于离散四元数傅立叶变换的彩色图像增强新方法。我们选择四元数傅里叶变换,因为它非常适合彩色图像处理应用程序,它同时处理所有3个颜色分量(R,G,B),它捕获了分量之间的固有相关性,它不生成颜色伪影或混合,最后,它不需要额外的颜色恢复过程。此外,我们还引入了一种新的CEME措施来评估增强型彩色图像的质量。初步结果表明,基于四元数傅立叶变换增强方法的α求根性能优于其他增强方法,例如基于傅立叶变换的a求根算法和多尺度Retinex。最重要的是,新方法不仅可以为劣质图像提供真实的色彩保真度,而且可以将颜色分量平均为灰度值以平衡色彩。它可以用于增强边缘信息和图像中的鲜明特征,甚至可以增强低对比度的图像。所提出的算法易于应用和设计,这使得它们在图像增强方面非常实用。

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