Light Intensity Adjustment and Noise Removal to Enhance the Quality of Medical Images

Image contrast enhancement is an image processing method in which the output image has high quality display. Medical images have prominent role in modern diagnosis; therefore, this study aimed to enhance the quality of medical images in order to help radiologists and surgeons in finding abnormal areas.
The methods used in this study to enhance medical images quality categorized into two groups; light intensity adjustment and noise removal. Light intensity adjustment methods including techniques for mapping image intensity values to the new domain. The second group including methods to remove noise from the images. Medical images used in this study including images of spine, brain, lung and breast.
The results were analyzed based on five criteria including the number of detected edges, PCNR, Image Quality Index, AMBE and visual quality that the number of detected edges in images of spine, brain, lungs and breast were 6465, 10305, 16266 and 13509, respectively.
The results showed that some methods such as the number of detected edges and visual quality assessment are the best techniques for light intensity adjustment. However, the other methods including PCNR, Image Quality Index and AMBE are the most effective methods for noise removal.