New hybrid Filtering Methods to remove noise from Digital Images

Ahmmad Rasheed, E. Essa, B. Jumaa
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Abstract

Using hybrid digital filtering techniques to reduce the amount of time a patient is exposed to radiation. If the patient is exposed to radiation for an extended length of time, his life will be jeopardized. Noise reduction in the photos is necessary when asked to lower the high radiation dosage and time it takes, which hides some of the right information from the physician and makes it difficult for him to appropriately analyze it. As a consequence, pre-processing has become the most significant item in digital image processors, and in this research, we offer a novel hybrid technology approach to decrease noise caused when photos are captured with medical equipment or when they are transferred. While respecting the image's edges, the resulting noise of the salt and pepper type. The statistical quantity measurements, Peak Signal-to-Noise Ratio (PSNR), and Root Mean Square Error (RMSE) are used to assess the enhanced picture quality. To illustrate this method, take 0.08 salts and pepper noise and compute it as MSE it becomes 2.58 and PSNR 202.67, which indicates that this method is better than others at removing higher noise as well.
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新的混合滤波方法去除数字图像中的噪声
使用混合数字滤波技术来减少病人暴露在辐射中的时间。如果病人长时间暴露在辐射下,他的生命就会受到威胁。当被要求降低高辐射剂量和时间时,照片中的噪声降低是必要的,这向医生隐藏了一些正确的信息,使他难以适当地分析它。因此,预处理已成为数字图像处理器中最重要的项目,在本研究中,我们提供了一种新颖的混合技术方法来降低医疗设备拍摄或传输照片时产生的噪声。在尊重图像边缘的同时,得到了椒盐型的噪点。使用统计量测量、峰值信噪比(PSNR)和均方根误差(RMSE)来评估增强的图像质量。为了说明该方法,取0.08盐和胡椒噪声,计算其MSE为2.58,PSNR为202.67,表明该方法在去除较高噪声方面也优于其他方法。
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