Optical Microscopy Images Enhancement Using YCbCr Color Space Based on Nonlinear Mapping

Improving medical images captured by the optical microscope plays an essential role in many medical, radiological, and other applications in the medical field. In this study, the microscope image was improved based on the color conversion (Ycbcr) and the transformation nonlinear mapping, where the lighting component (Y) was processed based on the nonlinear transformation and fuzzy technique, and the color component was improved using (CLAHE) algorithm. The proposed algorithm was compared with several modern algorithms based on non-referenced quality measures. Analyzing the proposed results has obtained the best quality measures with high values of EN (7.0701), AG (14.6901), and MSD (55.8363).