ABSTRACT
This chapter provides an overall idea of available medical image enhancement techniques. The noise degrades the quality of image and leads to the loss of important information. Digital image processing is the processing of digital images for storage, transmission, and representation for human interpretation and machine perception. During communication, the data parameters of digital images suffer from different types of noise. Imperfect gadgets and atmospheric turbulence are the main cause of noise generation, and this conveys wrong information about the image. Other sources of noise are noisy channel, faulty pixels in camera sensors, and faulty memory location. Medical image processing is the processing of medical images whose inputs and outputs are images that extract essential data and features from medical images. Medical image enhancement techniques have been found to give high-contrast, noise-free, edge-preserving, and high-quality medical images. The role of medical image processing has increased in the clinical applications.
