Earticle

초록

영어

This paper introduces an algorithm of wavelet biological image denoising integrated into quantum-inspired method, which is based on the basic principles of quantum mechanics. The quantum-inspired method is applied to estimate the respective probability of wavelet coefficients of the noise and signal of the biological image, then dynamically self-adapt to estimate the semi-soft threshold of wavelet coefficients, so as to protect the signal wavelet coefficients and filter the noise wavelet coefficient. Therefore, the proposed algorithm can restore the noise biological image and protect details of the biological image. Experimental results show that the proposed algorithm can improve the image quality and it is better than other denoising algorithms.

목차

Abstract
 1. Introduction
 2. Quantum-Inspired Algorithm
 3. Wavelet Denoising Algorithm
  3.1. Module Maximum Detection Method
  3.2. Wavelet Coefficient Correlation Denoising Method
  3.3. Threshold-Denoising Method
 4. Quantum-Inspired Wavelet Denoising Methods
  4.1. Models
  4.2. Algorithm
 5. Experiments and Analysis
 6. Conclusions
 References

키워드

저자

• Mingjun Wang [ Engineering and design College, Lishui University, Lishui, China ]
• Yuan Xiong [ Zhejiang Vocational College of Commerce, Hangzhou, China ]
• Meiliang Wang [ Engineering and design College, Lishui University, Lishui, China ]
• Wenyao Zhu [ Engineering and design College, Lishui University, Lishui, China ]
• Shuxian Deng [ College of Science, Henan Institute of Engineering, Zhengzhou, China ] Correspondence Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605