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CT images often have some ring artefacts caused by the inconsistent response of detector pixels and other factors. Removing ring artefacts effectively without impairing the image quality is still a hard problem although some methods have been proposed. Given that total variation minimisation is widely used for image denoising, a unidirectional relative variation model is proposed and performs it on...
Severe artifacts degrade the image quality and the diagnostic value of CT images if metal objects are present in the field of measurement. The standard method for metal artifact reduction (MAR) replaces affected projection data by interpolated data. Often, linear interpolation is used. However, sinogram interpolation introduces new artifacts and lacks accuracy close to metal objects even if more complex...
In this paper, a weighted mutual information (WMI) is proposed for medical image registration. Conventional information measures, for example Shannon's entropy and mutual information (MI), are based on the statistical properties of intensity values of images, and float image and reference image are playing same role when calculating their MI. In fact, because the characteristics and the qualities...
Digital image watermarking has been proposed as a method to enhance medical data security, confidentiality and integrity. Medical image watermarking requires extreme care when embedding additional data within the medical images because the additional information must not affect the image quality. Many of the exploration systems used for medical diagnosis are based on the medical study images. CR,...
Transfer of digital medical images between multiple parties requires the assurance of image identity and integrity, which can be achieved through image watermarking. This raises concerns for loss in viewer performance due to degradation of image quality. Here we describe an approach to ensure that impact on the image quality is well below the threshold of visual perceptibility. The principles on which...
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