Application of curvelet transform for denoising CT images

Noise in CT depends on the amount of discrete x-ray photons reaching the detector. In the CT images noise is responsible for visibility reduction the of low contrast areas and objects. The paper proposes a noise reduction method for CT images by processing it through the curvelet transform. Noise affect the ability to visualize pathologic qualities and the living tissues structure in CT images. Noisy picture may not be properly interpreted by a physician, especially on detection of pathological changes in tissues. The tests were performed on the Shepp-Logan phantom standard test image with additive Gaussian noise.