Medical Image Denoising using Rotated Wavelet Filter and Bilateral Filter
Abstract—Abstract This paper, is extension of author’s earlier work in which use of rotated wavelet filters for image denoising was proposed. Here authors proposed new algorithm based on rotated wavelet filters and bilateral filtering. Proposed Algorithm is tested on different digital modalities (X-ray and Ultrasound) and compared with earlier work and found significant improvements in terms of quality metrics PSNR and SSIM. Implementation simplicity is beauty of proposed algorithm.Earlier medical field was far away from digital technology i.e. engineering field. But gradually this picture is changed and today both fields goes hand in hand. Most of the disease identification is based on digital imaging systems also known as digital modalities. These modalities include Ultra sonography, X-ray imaging, MRI scan, CT-scan etc. Due to digital imaging technology, disease identification at early stage is possible for doctors/physicians so that they can start appropriate treatment. But benefits of digital modalities sometimes limited by image noise. This noise may hamper quality of image and ultimately decision making.
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