Effect Comparison of Some Filters on Images

  • Amal Abdaslam Arhoma Faculty of Education_ Misrata University computer Department
  • Nadia Ali Badish Faculty of Education_ Misrata University computer Department
  • Hager Mohamed Aborawi Faculty of Education_ Misrata University computer Department
الكلمات المفتاحية: Linear r filter،, Nonlinear filter،, Low pass filter،, High pass filter،, Median filter،, Max filter،, Min filter،, High- boost filter


The study aims to enhance the processing of distorted digital  images  by applying   filters like Low pass filter, High pass filter, Median filter, Mean filter, Max filter, Min filter, and High-boost filter. These filters depend on the modalities of the spatial and frequency domains, which use the  method of blocking an image by window N * N.The study has been applied to binary image, grayscale image, and color image. With using kinds of noise such as salt and pepper noise, Gaussian noise, Speckle noise, and Poisson (Shot) noise. Processing was applied to a set of images to ensure the efficiency of the filters. In our work, a comparison was made between the results of these filters effect on the images.


[1] M Jabber, F. (2007). Images Enhancement Using Fuzzy Median-Average Filter. basrah journal of science, 25(1), 17-31.
[2] Patidar, P., Gupta, M., Srivastava, S., & Nagawat, A. K. (2010). Image De-noising by Various Filters for Different Noise. International Journal of Computer Applications, 9(4), 45-50.
[3] Tsai, C. (2014). 2-D Discrete. For an MxN matrix All 1-D properties. Digital Image Processing Lecture 9, 2014.
[4] McAndrew, A. (2004). An Introduction to Digital Image Processing with Matlab Notes for SCM2511 Image Processing 1 Semester 1, 2004.
[5] JSSATE Noida, imageProcessing7-FrequencyFiltering. JSS Academy of Technical Education, CSE 15CS81 - Spring 2019.
[6] Digital Image Processing . ppt ,E-mail: ameer.alshammaa@uokufa.edu.iq 2012
[7] Dr. Ahmed Abushaala, DIGITAL IMAGE FUNDAMENTALS, Lecture – 2, Spr 2013