The **Mean filter** is a linear low-pass blur photo filter where each pixel in the output image has average value of its neighboring pixels. The algorithm is also famous as **Box blur **and performs as convolution with *average blur mask*.

## How does average filter works?

Even though the modern camera devices provide pretty good quality, often pictures are **noisy**. In such cases a common technique is to use **low-pass filter** to prevent *high frequency noise* artifacts.

We often call the *Mean* filter a “*blurring*” or “*smoothing*” filter, because the result is a blurry image.

In some articles you may find this operator as *average filter*, since for any pixel from image it takes the average value across its neighbors.

Like the Gaussian operator, this filter is also separable, so usually at a larger size it is better to run it once for rows and once for columns.

### Moving Averages

In addition to mean filter separation it is possible to apply additional optimization called **“moving averages”**. This will reduce its complexity further to O(1).

The following steps describe the process:

- Iterate through each row/column in a single pass
- For the first pixel use the whole kernel size and calculate the sum and write the
**mean**as output - For each next pixel use the sum from the previous step and subtract values which are no longer under the kernel.
- Add the new values that come under the mask
- Calculate the average sum and write it as output

## Iterative Average filter (Box Blur)

We base our algorithm on the fact that *Gaussian filter* approximates well by multiple iterations of Average filter.

Equation (1) describes the *standard deviation* of mean filter with size **n**, since it corresponds to uniform probability distribution. In case of multiple iterations **m**, the standard deviation is result from equation 2.

Thus in order to calculate number of iterations *m* for known kernel size (e.g. *n=3*) and provided sigma, the equation could be represented as following:

This iterative approach is suitable for fast parallel computing (GPU), where we can use WebGL to make a quick blur effect on photos.

## Source Code for fast Image blur

## Online Demo App

## Related Articles

## Resources

- Geometric mean filter – Wikipedia