Comparison of Different Filtering, Smoothing Filters in Digital Image Processing

Filtering is perhaps the most fundamental operation of image processing and computer vision. In the broadest sense of the term “filtering,” the value of the filtered image at a given location is a function of the values of the input image in a small neighborhood of the same location. 

Here, in this work we will compare the quality and efficiency of several filtering/smoothing techniques with respective of their smoothing value and neighborhood size. Some of the filtering techniques are guided, gaussian, median and bilateral. Experiments show that the guided filter performs very well in terms of both quality and efficiency.

Keywords: Filtering/Smoothing, Guided Filter, Gaussian Filter, Median Filter, Bilateral Filter.