원문정보
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초록
영어
It is well known that wavelet transform is a signal processing technique which can display the signals on in both time and frequency domain. In this paper, we proposed a new approach based on stationary wavelet transform to provide an enhanced approach for eliminating noise. A 'stationary wavelet transform', where the coefficient sequences are not decimated at each stage, is described. The testing result on sample iris images has shown an enhanced image quality and also show that it has a superior performance than traditional discrete wavelet transform.
목차
Abstract
1. 연구목적
2. 웨이블릿 변환(Wavelet Transform))
3. DWT(Discrete Wavelet Transform)
4. SWT(Stationary Wavelet Transform)
5. Thesholding method
6. 잡음 제거 알고리즘
7. 실험 결과 및 결론
참고문헌
1. 연구목적
2. 웨이블릿 변환(Wavelet Transform))
3. DWT(Discrete Wavelet Transform)
4. SWT(Stationary Wavelet Transform)
5. Thesholding method
6. 잡음 제거 알고리즘
7. 실험 결과 및 결론
참고문헌
저자정보
참고문헌
자료제공 : 네이버학술정보