How would you use a median filter to filter out noise in multiple images? If you

Question

How would you use a median filter to filter out noise in multiple images?

If you look closely, you can see that the most of sculpture is visible in each image. The man walking only blocked part of the sculpture, and since he was in a different position in each photo, he usually blocked a different part of the sculpture each time. Might there be a way to combine all of these photos in such as to “remove” the man from the overall photo? It turns out that there is using a technique called a median filter. This is a method for removing noise – or a man in this case – from a set of similar images.

You do not need to write a routine to sort your color data – use the one provided in stdlib.h.

Output example:

9 images above input, image without man is output.

Explanation / Answer

Median Filter can be used set the value of the output pixel to the average of the pixel values in the neighborhood around the corresponding input pixel.Value of an output pixel is determined by median of neighbourhood pixels rather than mean.The median is much less sensitive than the mean to extreme values (called outliers).  therefore Median filtering is better able to remove these outliers without reducing the sharpness of the image.Median filtering is a specific case of order-statistic filtering, also known as rank filtering.

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