Noise Removal with Median Filtering

Median filtering is a digital image processing technique designed to remove noise from images. By applying median filtering, we obtain images with significantly reduced noise interference, resulting in clearer visual output. If you need to process your images further, you can execute our code implementation which utilizes median filtering for image cleansing. The algorithm works by sliding a kernel window through the image and replacing each pixel's value with the median of neighboring pixels within the kernel. You can select from various kernel sizes including 3x3, 5x5, 7x7, or 9x9 filters. The choice of kernel size should match your specific requirements - larger kernels generally provide more effective noise removal but may cause slight blurring, while smaller kernels preserve more detail but offer less aggressive noise reduction. The key function implementation involves sorting pixel values within the kernel window and selecting the median value, which effectively eliminates salt-and-pepper noise while preserving image edges better than linear filters.