ABSTRACT
In this chapter, the authors examine some of the advantages and challenges of applying the super-resolution framework to applications in medical imaging. They describe super-resolution and its applications from the medical imaging community’s point of view. The authors describe the general super-resolution framework and provide a brief review of the different super-resolution algorithms. They focus on X-ray and Optical Coherence Tomography (OCT) image enhancement, similar strategies can be exploited for enhancing the quality of some other volumetric medical imaging devices such as ultrasound. Commonly, the lateral, axial, and azimuthal resolution of many imaging systems, including OCT, are associated with the illumination source characteristics, the optical path, and other physical characteristics. The invention of the charge coupled device created a new era of imaging wherein optical images could be efficiently captured by an array of solid-state detectors and stored as digital information.
