Image Enhancement using Adaptive Median Filter
Rasha Awad Abtan · International Journal of Scientific Research in Science Engineering and Technology · 2023
Impulse noise frequently taints digital images as a result of errors produced by noisy sensors, faults during the analog-to-digital conversion process, and errors produced in communication channels. This persistent bug modifies the brightness of some pixels while keeping the brightness of other pixels unaltered. We looked at the Median Filter, Weighted Median Filter, and Multi-Stage Median Filter to lessen impulsive noise and enhance the quality of the impacted image. These filters enhance the image quality by removing or successfully suppressing impulse noise in the image while maintaining the information about the image's edges. In MATLAB simulations, the effectiveness of these filters was assessed on a picture that has undergone different types of impulse noise corruption (Salt-and-Pepper and Gaussian noise).