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Image Denoising

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Image Denoising
DIGITAL IMAGE PROCESSING MINI-PROJECT

PROJECT TITLE: IMAGE DENOISING AND FEATURE EXTRACTION USING SPATIAL FILTERS

ACKNOWLDGEMENT:
I would like to thank Prof. Thanikaiselvan Sir for constantly guiding me through the course of this project. His class lectures made my concepts clear in image processing and made me familiar with the various image processing techniques and the various operations that can be performed on images. This helped me implement my desired task using MATLAB and so I was able to complete my mini-project on “Image denoising and feature extraction using spatial filters” successfully.

ABSTRACT:
In image processing, the quality of any image gets badly corrupted by noise whether it be any kind of noise. To combat this problem of noise, we need to improve the overall system quality. We can implement various image denoising techniques to reduce the noise.
We are doing image denoising in spatial domain here. In spatial domain, operations are performed on the pixels itself. We have implemented three different kinds of filter: median filter, averaging filter and wiener filter to denoise the image and then have analyzed the results. Also we have implemented 2-D Gaborfilter for feature extractions of an image.

AIM:
To remove various types of noise and also do feature extraction using different types of spatial filters.
OBJECTIVE:
* To perform image denoising using three spatial filters- Median filter, averaging filter and Wiener filter. * To extract particular features of an image using another kind of spatial filter- Gabor filter and so study the different applications of spatial filters
THEORY:
Image denoising is the first preprocessing step in dealing with image processing where the overall system


References: 1. Digital Image Processing by Gonzalez 2. An introduction to Digital Image Processing with Matlab Notes for SCM2511 Image Processsing1 by Alasdair McAndrew 3. Wiener Filtering and Image Processing. www.clear.rice.edu/elec431/projects95/lords/wiener.html 4. bmia.bmt.tue.nl/education/courses/fev/course/.../Gabor_functions.pdf * | |
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