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Linear and nonlinear filter for image processing using MATLAB's image processing toolbox

Mohd Padzil, Fatihah (2016) Linear and nonlinear filter for image processing using MATLAB's image processing toolbox. Honours thesis, Murdoch University.

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Abstract

The proposal of the thesis is basically to study techniques in digital image processing. This thesis will cover two image processing areas, which are image restoration and image enhancement. More specifically, image restoration will involve the removal of noise and image enhancement will look into technique for edge enhancement.

In this project, two classes of filter will be introduced, which are linear and nonlinear filters. Two type of noise source will be used which are Gaussian noise and salt and pepper noise. For noise removal, the mean filter is used as example of a linear filter and the median filter is used as an example of a nonlinear filter. For edge enhancement, only a linear filter is used, which is the unsharp mask filter.

The simulation programs are written using the Image Processing Toolbox in MATLAB (MATrix LABoratory). Test images that corrupted by noise will be used in investigations to assess the strength and weakness for each type of filter.

Publication Type: Thesis (Honours)
Murdoch Affiliation: School of Engineering and Information Technology
Supervisor: Crebbin, Gregory and Vu, Linh
URI: http://researchrepository.murdoch.edu.au/id/eprint/30815
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