Description

Image Processing

Image Enhancement using Spatial Domain Filtering

A. Mask Processing

Mask processing is often also called image filtering, which performs operations on a neighboring window on the image.  filter is basically a method to reduce or eliminate noise in digital images.  There are various types of filters and their functions and effects are also different.

1. Smoothing Filter

smoothing aims to suppress noise interference in the image. disturbances in the image are generally in the form of variations in the intensity of a pixel that is not correlated with neighboring pixels

a. Linear Filter

-Average Filter

The average filter works by replacing the value of a pixel in the original image with the average value of that pixel and its neighboring environment

       - Gaussian Filter

Gaussian filter is a linear spatial filter that works by correlation or convolution and requires a mask/kernel matrix.

b. Non Linear Filter

A non-linear filter is a filter whose response is based on the order or rank of pixels in the image covered by the filter area by replacing the value of a different pixel in the middle.

   -Median Filter

The median filter works by replacing the value of a pixel in the original image with the median value of that pixel and its neighbors

       -Maximum Filter

       -Minimum Filter