Research papers on median filtering

Research papers on median filtering explore how this technique reduces noise in digital images and signals by replacing each pixel or data point with the median value of its neighbors. These studies analyze ways to improve filtering accuracy, preserve important details, and make the process more efficient. They also compare median filtering to other noise reduction methods and develop new algorithms for better performance in various applications like medical imaging, photography, and signal processing. Overall, such research aims to enhance how we clean and clarify digital data while maintaining its essential features.