Abstract
Colorization is an automatic technique to enhance greyscale images by introducing chromatic information. In this research we investigate to produce colorized medical images, potentially supporting in better understanding of anatomy, anomalies and infections. Begins with proposed mandatory preprocessing steps for medical images noise removal and edge improvement, followed by colorization process. On providing target color reference medical image, chromatic information was transferred to greyscale input image. The generated colorized medical images are excellent representation biomedical structures. Performance of the proposed technique was compared with state of art methodologies, yet evaluation parameters validate the supremacy of proposed system.
