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논문검색

Nonlinear Diffusion Filtering Method based on Wavelet Image

초록

영어

In this paper, on the basis of the anisotropic diffusion mechanism, analyzes emphatically represented by P - M model of diffusion filter principle of several kinds of nonlinear diffusion model, and their respective characteristics and problems. In-depth analysis of the nonlinear diffusion model, the threshold and termination mechanism of combining image geometric structure feature and visual information (gradient, brightness, contrast, structural information), in view of the existing nonlinear diffusion filtering model, the diffusion coefficient depends on the gradient and the problem that the susceptible to noise interference, presents a fidelity term used in image denoising and restoration contain nonlinear wavelet diffusion model, the theoretical analysis and experimental results show that this method is compared with other diffusion model while denoising can keep image edges and details characteristics, image visual effect is better.

목차

Abstract
 1. Introduction
 2. Related works
  2.1. Anisotropic Ddiffusion
  2.2. P - M Equation of Parameter Estimation and Optimization
 3. Image Nonlinear Diffusion Filter based on Wavelet Transform
  3.1. Fidelity Term with Nonlinear Wavelet Diffusion Model
 4. Simulation Results and Analysis
 5. Conclusion
 Acknowledgements
 References

저자정보

  • Zhao Xiaofeng Shandong Women’s University

참고문헌

자료제공 : 네이버학술정보

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