BibTeX:

@article{IJIRSTV1I8006,
     title={Denoising of Computed Tomography Images using Wavelet Transform},
     author={Savita Verma and Navdeep Khare},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={8},
     pages={21--29},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I8006.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Image denoising is one of the most significant tasks in image processing, analysis and image processing applications. Medical Imaging is one among the emerging application areas where the image denoising plays a vital role. In medical imaging, the additional techniques and systems introduce noises and artifacts in the medical image that leads to poor quality image. In this moment, image denoising is an essential pre-requisite, specially in Computed Tomography, which is an important and most common method in medical imaging. The significance of the denoising is mainly due to that the effectiveness of clinical diagnosis using CT image depends upon the quality of the image. In this work, we propose an efficient noise reduction technique for CT images using wavelet transformation and thresholding. The technique removes Additive noise from the CT images as well as it enhances the quality of the images.

Continuous Wavelet Transform, Digital Imaging And Communications In Medicine, Discrete Wavelet Transform