دراسة مقارنة لطرق إزالة الضجيج النبضي في الصور الطبية

الملخص EN

Image smoothing is one of the principal techniques used in image processing to remove the different types of noise that are present in the image.

One of the most frequent types of noise that affected the digital images are the impulsive noise (salt and pepper noise) which can be caused by dead pixels in the image acquisition sensors, analog to digital converter error or during the transmission of the image in a noisy channel ..etc.

An image containing saltand-pepper noise will have some isolated dark pixels in bright regions and bright pixels in dark regions.

The median smoothing filter is one of the most popular nonlinear solutions used to deal with the impulsive noise.

There are many variations of median filters in literature.

Seven different techniques of median filtering are studied and compared in this paper based on their ability to reconstruct the images affected by impulsive noise.

To insure the effectiveness of the various median filtering techniques, they are coded and tested on a set of grayscale medical images with different levels of noise, then compared using the standard known image quality measures.

In the comparison of the studied median filtering techniques, we found that the adaptive median filter gives the best results in comparison with the other techniques used in this study.