| Summary: | 碩士 === 國立臺灣科技大學 === 電機工程系 === 98 === Digital signal processing is one of the most influential technologies in the twentieth century, and its innovation has caused great changes in many different fields. The major industries in Taiwan, like communications, medical imaging, acoustics, high-fidelity audio, multimedia, and industrial control, all have developed their own digital signal processing technology. Noise reduction in Digital signal is a very important topic in these fields.
Noise inevitably presents in every digital and analog systems. Traditionally, noise is regarded as undesired high frequency signal and can use low-pass filter for noise reduction. The most famous low-pass filter is Gaussian Filter. The other variety of low-pass filters all simply focus on high frequency noise. It becomes quite difficult to eliminate noise in high frequency signals.
This thesis proposes a method which combines R.O.F TV, remark high frequency area by Discrete Cosine Transform and Adaptive TV algorithm to suppress the noise in both high frequency signal and low frequency signal. We compare the experiment data of single R.O.F TV and single Adaptive TV with R.O.F TV + Adaptive TV algorithm, and the results show our method is a better algorithm than other two in variety conditions.
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