원문정보
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
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