Journal of the Institute of Convergence Signal Processing (융합신호처리학회논문지)

The Korea Institute of Convergence Signal Processing (한국융합신호처리학회)
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Denoising Images by VisuShrink Technique Using the Estimated Noise Power in the Highest Equal Subband of Wavelet

웨이블릿 고주파 균열 서브밴드에서 추정된 잡음전력을 적용한 VisuShrink 기법의 영상 잡음제거

  • Received : 2011.10.04
  • Accepted : 2012.02.02
  • Published : 2012.01.30
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Abstract

The highest frequency band of wavelet decomposition band is divided into 4 equal subbands and by the minimum power of the subbands and by the monotonic transform, the level adapted threshold is obtained. The adapted threshold is applied to the soft threshold technique to denoise high and middle frequency band noise of image signals. And the results of PSNRs are compared with the results obtained by the VisuShrink technique and by the technique using the monotonic transform and the weight value. The results showed the validity of this technique.

웨이블릿 분해된 최고주파 대역을 4개의 균일대역으로 서브밴드 분할한 후 이 레벨들의 전력값 중에서 최소값과 단조 변환(monotonic transform)을 이용해서 레벨 적응적 경계값을 구하였다. 이 경계값으로 ST(soft threshold) 연산자에 적용하여 고주파 및 중간 대역의 가우시안 잡음을 제거하였다. 그 결과를 VisuShrink 방법 그리고 monotonic 변환 및 가중값을 이용해서 잡음 제거한 결과와 PSNR로 비교하고 이 기법의 실용성을 밝혔다.

Keywords

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