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/58744/1/Noise%20Level%20Reduction%20Of%202D%20Digital%20Signal%20Using%20Toboggan%20Method_Sharon%20Lim%20Su%20Yin.pdf |
| _version_ | 1797014131982729216 |
|---|---|
| author | Sharon Lim, Su Yin |
| author_facet | Sharon Lim, Su Yin |
| author_sort | Sharon Lim, Su Yin |
| collection | USM |
| description | 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. |
| first_indexed | 2024-03-06T16:11:51Z |
| format | Monograph |
| id | usm.eprints-58744 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2024-03-06T16:11:51Z |
| publishDate | 2006 |
| publisher | Universiti Sains Malaysia |
| record_format | dspace |
| spelling | usm.eprints-587442023-05-31T02:54:28Z http://eprints.usm.my/58744/ Noise Level Reduction Of 2D Digital Signal Using Toboggan Method Sharon Lim, Su Yin T Technology TK Electrical Engineering. Electronics. Nuclear Engineering 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. Universiti Sains Malaysia 2006-05-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/58744/1/Noise%20Level%20Reduction%20Of%202D%20Digital%20Signal%20Using%20Toboggan%20Method_Sharon%20Lim%20Su%20Yin.pdf Sharon Lim, Su Yin (2006) Noise Level Reduction Of 2D Digital Signal Using Toboggan Method. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Elektrik dan Elektronik. (Submitted) |
| spellingShingle | T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Sharon Lim, Su Yin Noise Level Reduction Of 2D Digital Signal Using Toboggan Method |
| title | Noise Level Reduction Of 2D Digital Signal Using Toboggan Method |
| title_full | Noise Level Reduction Of 2D Digital Signal Using Toboggan Method |
| title_fullStr | Noise Level Reduction Of 2D Digital Signal Using Toboggan Method |
| title_full_unstemmed | Noise Level Reduction Of 2D Digital Signal Using Toboggan Method |
| title_short | Noise Level Reduction Of 2D Digital Signal Using Toboggan Method |
| title_sort | noise level reduction of 2d digital signal using toboggan method |
| topic | T Technology TK Electrical Engineering. Electronics. Nuclear Engineering |
| url | http://eprints.usm.my/58744/1/Noise%20Level%20Reduction%20Of%202D%20Digital%20Signal%20Using%20Toboggan%20Method_Sharon%20Lim%20Su%20Yin.pdf |
| work_keys_str_mv | AT sharonlimsuyin noiselevelreductionof2ddigitalsignalusingtobogganmethod |