The Journal of the Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회논문지)

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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A Study on the Performance Improvement of Over-sampled Discrete Wavelet Transform

과표본화된 이산 웨이브렛 변환의 성능 향상에 관한 연구

  • Jee, Innho (Dept. of Computer & Information Communications. Engineering, Hongik University)
  • 지인호 (홍익대학교 컴퓨터정보통신공학과)
  • Received : 2013.12.23
  • Accepted : 2014.02.07
  • Published : 2014.02.28
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Abstract

Over-sampled discrete wavelet transformation is one way to overcome the disadvantages of the standard wavelet transform of shift invariance even though it increases the number of subband signals. Non-separable based discrete wavelet transform is efficient that it satisfies shift invariance and directional selectivity. In this paper, since efficient over-sampled wavelet transform is possible in a two-dimensional image processing, we show that the proposed method is well applied with performance improvement of digital image and noise removal.

과표본화된 이산 웨이브렛 변환은 입력 데이터보다 더 많은 양의 부대역 데이터들이 생성되지만 기존의 웨이브렛 변환의 이동 불변 불만족의 단점을 극복할 수 있다. 비분리 표본화를 기반으로 하는 이산 웨이브렛 변환은 이동 불변의 특징의 만족과 방향 선택성 등에서 더 많은 부대역 영상을 통하지만 더 효율적이다. 본 논문에서는 보다 많은 부대역 영상을 생성하는 2차원 영상처리 과표본화 된 웨이브렛 변환의 효율적인 처리를 가능하게 하여 디지털 영상의 품질 향상 및 잡음제거 응용 분야에 적용시킬 수 있음을 제안하였다.

Keywords

References

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