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A Comparative Study Algorithm for Noisy Image Restoration in the Field of Medical Imaging

机译:医学成像领域噪声图像恢复的比较研究算法

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This paper presents the performance analysis of different basic techniques used for the image restoration. Restoration is a process by removing blur and noise from image and get back the original form. Medical images play a vital role in dealing with the detection of various diseases in patients and they face the problem of salt and pepper noise and Gausian noise. Hence restoration is performed based on different image restoration techniques. In this paper, popular restoration techniques is applied and analyzed in the recovery of medical images,.
机译:本文介绍了用于图像恢复的各种基本技术的性能分析。恢复是通过消除图像中的模糊和噪点并恢复原始形式的过程。医学图像在处理患者各种疾病的过程中起着至关重要的作用,它们面临着盐和胡椒噪声以及高斯噪声的问题。因此,基于不同的图像恢复技术来执行恢复。在本文中,流行的恢复技术在医学图像的恢复中得到了应用和分析。

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