Hybrid Method for Contrast Enhancement of Industrial Videoscope Images

Abstract

Pre-processing is a required step for image enhancement. Videoscope image enhancement is a difficult task as the captured images suffer from noise and poor contrast. Contrast enhancement is very important for videoscope image enhancement as it improves the quality of images. Contrast enhancement techniques include histogram equalization, fuzzy processing, Contrast Limited Adaptive Histogram Equalization (CLAHE), and histogram matching. These techniques are applied to improve the quality of the videoscope images. The hybrid method that contains CLAHE and fuzzy enhancement achieves good results. Simulation results prove a superior performance with higher image quality, higher evaluation metric values, and much more details in images.