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An information-theoretic quality assessment approach for X-ray images

In this work, Shannon's formulation of the information capacity of a communication channel is considered as a framework for the quantification of image quality. We describe a method to apply Shannon's noisy channel coding theorem on radiographic images, which exhibit signal-dependent noise. Results of a number of experiments on real X-ray images are presented, showing the correlation of the proposed method with classical image quality metrics from Linear Systems Theory.