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Today, Computed Tomography (CT) is one of the highly efficient indispensable tools in medical science for clinical purpose. Due to software and hardware limitations, and statistical uncertainty of all physical measurements in Computed Tomography, the unwanted noise appears in CT images. The presence of noise is one of the main factors to degrade the visual quality of the CT images. Because of the image degradation, the experts are not able to identify the correct information from the medical images. Therefore, this book investigates the methods for noise reduction in CT images while preserving their main structures. The goal of work is to improve the signal to-noise ratio without loss of spatial resolution or structures of the CT images. Hence, image denoising is an essential processing step preceding visual and automated analyses. This book is concerned with the methods for CT image enhancement using image denoising concepts which can be capable to preserve edges and maintain high visual quality.
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