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Improving the Sharpness of Digital Images Using a Modified Laplacian Sharpening Technique

机译:使用改进的拉普拉斯锐化技术改善数字图像的清晰度

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Many imaging systems produce images with deficient sharpness due to different real limitations. Hence, various image sharpening techniques have been used to improve the acutance of digital images. One of such is the well-known Laplacian sharpening technique. When implementing the basic Laplacian technique for image sharpening, two main drawbacks were detected. First, the amount of introduced sharpness cannot be increased or decreased. Second, in many situations, the resulted image suffers from a noticeable increase in brightness around the sharpened edges. In this article, an improved version of the basic Laplacian technique is proposed, wherein it contains two key modifications of weighting the Laplace operator to control the introduced sharpness and tweaking the second order derivatives to provide adequate brightness for recovered edges. To perform reliable experiments, only real-degraded images were used, and their accuracies were measured using a specialized no-reference image quality assessment metric. From the obtained experimental results, it is evident that the proposed technique outperformed the comparable techniques in terms of recorded accuracy and visual appearance.
机译:由于不同的实际限制,许多成像系统会产生清晰度不足的图像。因此,已经使用各种图像锐化技术来改善数字图像的清晰度。其中之一就是众所周知的拉普拉斯锐化技术。当实施基本的拉普拉斯技术进行图像锐化时,发现了两个主要缺点。首先,不能增加或减少引入的清晰度。其次,在许多情况下,所得图像的清晰度在锐化边缘周围明显增加。在本文中,提出了一种基本拉普拉斯技术的改进版本,其中包含两个主要修改:加权拉普拉斯算子以控制引入的清晰度,并调整二阶导数以为恢复的边缘提供足够的亮度。为了执行可靠的实验,仅使用真实退化的图像,并使用专门的无参考图像质量评估指标来测量其准确性。从获得的实验结果来看,很明显,在记录的准确性和视觉外观方面,所提出的技术优于同类技术。

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