Noise Level Reduction Of 2D Digital Signal Using Toboggan Method
In this new era, images for the broadcast television, video, camera, remote sensing, medical imaging, machine vision and others sources always contaminate with impulse noise and Gaussian noise. Those image contaminated by noise are uncomfortable for viewing, thus image processing is introduce...
| Main Author: | |
|---|---|
| Format: | Monograph |
| Language: | English |
| Published: |
Universiti Sains Malaysia
2006
|
| Subjects: | |
| Online Access: | http://eprints.usm.my/58744/ http://eprints.usm.my/58744/1/Noise%20Level%20Reduction%20Of%202D%20Digital%20Signal%20Using%20Toboggan%20Method_Sharon%20Lim%20Su%20Yin.pdf |
| Summary: | In this new era, images for the broadcast television, video, camera, remote sensing,
medical imaging, machine vision and others sources always contaminate with impulse
noise and Gaussian noise. Those image contaminated by noise are uncomfortable for
viewing, thus image processing is introduce to tackle this problem. By that, the objective of
this project is to achieve image contrast enhancement which implemented by using C++
programming as the user interface (UI). In fact, those noises in the two dimensional images
can be reduced by using mean filter, median filter and Gaussian filter. After smoothing
those images, we must sharpen those blurry images by using first derivative filter with
gradient operators to preserve the edge characteristics. We can integrate both of these filters
by using Toboggan method which also defined as downhill method. Those sharp and clear
images produced after processing with Toboggan enhancement method in my project is
similar as proven by image processing theory. After that, results after using those filters are
compared and analyzed by using software like Matlab version 7.0. However, improvement
on reducing Gaussian noise with higher value for sigma in images was done, besides filters
for improving images which contaminated with both impulse noise and Gaussian noise was
also implemented. Eventually, a less noise and clearer output image which had met the
objective of this project was successfully produced. |
|---|