Design and Application of Image Enhancement Operator Based on Fractional Differential Interpolation Operation

Wen Yang, Chaobang Gao, Yudie Zhong, Qiang-feng Zhou
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引用次数: 1

Abstract

Image enhancement is an important part of image processing, affected by the process of image acquisition, transformation, transmission, etc., the image quality will be reduced, the subsequent processing will be limited by the problems. Based on the characteristic of texture enhancement and noise suppression, fractional differentiation operation has been used in image processing, since it can not only strengthen the high and middle frequency components of the signal, but also can preserve the low frequency components. The paper designs an improved image enhanced operator based on the combination of fractional differentiation and interpolating operation called the maximum of interpolating operation fractional differentiation (MIOFD). Experiments show that the texture and edges of the images processed by MIOFD are enhanced. The enhancement is better than the integer differentiation, compared with traditional fractional differentiation, our method can preserve non-node pixels information and enlarge the difference of details, also makes the enhancement better.
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基于分数阶微分插值运算的图像增强算子的设计与应用
图像增强是图像处理的重要组成部分,受图像采集、变换、传输等过程的影响,图像质量会降低,后续的处理也会受到问题的限制。基于纹理增强和噪声抑制的特点,将分数阶微分运算应用于图像处理中,既能增强信号的高、中频成分,又能保留信号的低频成分。本文设计了一种基于分数微分和插值运算相结合的改进图像增强算子,称为插值运算分数微分最大值算子(MIOFD)。实验结果表明,经过MIOFD处理后的图像纹理和边缘都得到了增强。增强效果优于整数微分,与传统的分数微分相比,可以保留非节点像素信息,扩大细节差异,增强效果更好。
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