Double Fractional-order Masks Image Enhancement

Alaa AbdAlRahman, Samar M. Ismail, L. Said, A. Radwan
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引用次数: 2

Abstract

Image enhancement is better achieved when fractional-order masks are used rather than integer-order ones, this is due to the flexibility of fractional-order parameters control. This paper proposes a combination of fractional-order masks to be used in parallel as double filters system structure to improve image enhancement rather than using a single-stage filter. Various performance metrics are used in this work to evaluate the proposed system, such as Information Entropy (IE), Average Gradient (AG), Structural Similarity Index Metric (SSIM) and Peak Signal to Noise Ratio (PSNR). Based on visual as well as numerical results, it is found that the combination of two double masks is superior to the single fractional-order system in terms of enhancing texture and edges.
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双分数阶掩模图像增强
当使用分数阶掩模而不是整数阶掩模时,图像增强效果更好,这是由于分数阶参数控制的灵活性。本文提出了一种分数阶掩模组合并行使用作为双滤波器的系统结构,以提高图像的增强效果,而不是使用单级滤波器。在这项工作中使用了各种性能指标来评估所提出的系统,如信息熵(IE),平均梯度(AG),结构相似指数度量(SSIM)和峰值信噪比(PSNR)。基于视觉和数值结果,发现两个双掩模组合在纹理和边缘增强方面优于单个分数阶系统。
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