Study on the Denoising of Sounds and Images

Student: Yeonho Jung
Table: COMP5
Experimentation location: Home
Regulated Research (Form 1c): No
Project continuation (Form 7): No



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Muangjaroen, Supavit, and Thaweesak Yingthawornsuk. "A Study of Noise Reduction in Speech Signal Using FIR Filtering." Proceedings of the International Conference on Advances in Electrical and Electronics Engineering. 2012.

Karam, Marc, et al. "Noise removal in speech processing using spectral subtraction." Journal of Signal and Information Processing 5.02 (2014): 32.

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Rabiner, Lawrence R., and Ronald W. Schafer. Digital processing of speech signals. Prentice Hall, 1978.

Allen, Jonathan. "Short term spectral analysis, synthesis, and modification by discrete Fourier transform." IEEE Transactions on Acoustics, Speech, and Signal Processing 25.3 (1977): 235-238.

Vijaykumar, V. R., P. T. Vanathi, and P. Kanagasapabathy. "Modified adaptive filtering algorithm for noise cancellation in speech signals." Elektronika ir elektrotechnika 74.2 (2007): 17-20.

Lim, Yong Ching, and Yong Lian. "Frequency-response masking approach for digital filter design: Complexity reduction via masking filter factorization." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing41.8 (1994): 518-525.

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Research Plan:

Filters are designed to reduce the effects of noise and enhance the original sound. These noise-removing systems are improved through implicating various filters and windows, also applying some algorithms. The filters can be used for digital imaging process as well. Fourier transformation based algorithm is used to discretize the original continuous data, and the outputs are calculated using physical and numerical methods.

In this research project, we employ combinations of proposed Low Pass Filters with various Windows functions, such as Hanning, Bartlett, Hamming, and Blackman window, to remove noise. We implicate the filter design at simple trigonometrical functions and realistic samples to substantiate the noise removal process. Efficient LPFs for digital imaging process are also presented. We used MATLAB to analyze presented files audio and MRI scans and executed Fast Fourier Transform.

The main objective for this research is to find the best-fit filter design in order to reach the highest efficiency in noise reduction

Questions and Answers

1. What was the major objective of your project and what was your plan to achieve it? 

       a. Was that goal the result of any specific situation, experience, or problem you encountered?  

       b. Were you trying to solve a problem, answer a question, or test a hypothesis?

The major objective to use technology in aiding poor sound and medical image quality.

2. What were the major tasks you had to perform in order to complete your project?

       a. For teams, describe what each member worked on.

For acoustics, I had to experiment with different filters to see what was optimal. Then, I had to implement my findings in real audio. For medical imaging, I tried out different filters on a medical image.

3. What is new or novel about your project?

       a. Is there some aspect of your project's objective, or how you achieved it that you haven't done before?

I have never implemented filters to enhance images and sound before.

       b. Is your project's objective, or the way you implemented it, different from anything you have seen?

For analysis of denoising of bioimage, further experiments with the filter created by multiplying LPF, new filter equation, and K-space showed that it increased the resolution of the image while taking less time compared to other filters tested before to form the final image. 

       c. If you believe your work to be unique in some way, what research have you done to confirm that it is?

I have not seen the implementation of such a filter.

4. What was the most challenging part of completing your project?

      a. What problems did you encounter, and how did you overcome them?

It was difficult trying to find the optimal filter to enhance images. I troubleshooted effectively.

      b. What did you learn from overcoming these problems?

Effective troubleshooting can help overcome problems

5. If you were going to do this project again, are there any things you would you do differently the next time?

This is my first time completing this project

6. Did working on this project give you any ideas for other projects? 

Yes. This project demonstrated that by using different windows and tools like Fourier transformation, I can enhance medical imaging and acoustics. However, I believe it will be interesting to create distorted images as a form of art

7. How did COVID-19 affect the completion of your project?

Covid-19 has not affected my project, for my project was completed at home