
A Spatial 3 X 3 Average Filter for De-Noising in Digital Images with the Help of Median Filter
Author(s) -
Alisha Kazmi,
Muhammad Nadeem Ali,
Muhammad Adnan Khan
Publication year - 2017
Publication title -
lahore garrison university research journal of computer science and information technology
Language(s) - English
Resource type - Journals
eISSN - 2521-0122
pISSN - 2519-7991
DOI - 10.54692/lgurjcsit.2017.010322
Subject(s) - median filter , noise (video) , computer science , computer vision , filter (signal processing) , artificial intelligence , image noise , composite image filter , salt and pepper noise , digital image processing , image processing , image (mathematics)
Digital image processing includes many factors like Image enhancement, segmentation, object recognition, removal of noise and many more. Noise removal is the one of the hot area of image processing. Noise can be minimized but cannot removed completely. Scientist and researchers has established many filters, which can minimize the noise in the image and enhance its quality. There are many types of noise and many types of filter for the removal of noise. Many types of noise are used. To remove these types of noise, 3 x 3 average filter is used in this paper and its efficiency is measured. The simulations are performed on the MATLAB.