Image noise reduction by iteratively truncated mean filter
It is well known that noise filtering is very important in image and signal processing. Common noise filters are mean and median filters which they have respective pros and cons in noise attenuation and image structure preservation. Therefore there is a necessity and tendency to develop another t...
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| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
2015
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| 主題: | |
| 在線閱讀: | http://hdl.handle.net/10356/62105 |
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| 機構: | Nanyang Technological University |
| 語言: | English |
| 總結: | It is well known that noise filtering is very important in image and signal processing.
Common noise filters are mean and median filters which they have respective pros and
cons in noise attenuation and image structure preservation. Therefore there is a necessity
and tendency to develop another type of noise filter to combine the merits of both mean
and median filters. Iterative Truncated Arithmetic Mean (ITM) filter is introduced and
developed to have the merits of both mean and median filters, which starts from the
mean to approach the median. Another type of filter Fast Iterative Truncated Arithmetic
Mean (FITM) filter based on ITM filter is also proposed to be expected to have faster
running speed compared to ITM filter. Both ITM and FITM filter will be implemented by
MATLAB and C code respectively. A lot of experiment will be conducted as well to
compare the results of two different implementation methods, the performance compared
to median filter as well as the running speed. |
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