Despite advancements in medical imaging modalities, build-up of noise and distortion is still an issue faced by users of medical imaging technology. Consequently, de-noising procedures are developed to preserve the quality of the textured image by removing the noise encountered. Parametric and Nonparametric Techniques in Medical Image De-noising and Restoration explores the different medical image de-noising techniques for medical image quality enhancement. It introduces soft computing and optimization techniques and reports on the challenges of medical image denoising, also highlighting artifacts and noise sources in different imaging modalities and discussing performance evaluation metrics. This is a key reference for anyone involved in medical imaging who is looking to learn about both the parametric and non-parametric approaches available and apply them to their own work and research.

• Explores the types of denoising and restoration with different noise sources of each medical modality
• Emphasizes the different approaches of denoising and restoration, including parametric and nonparametric techniques
• Provides applied examples of medical image denoising