基于各向异性非线性扩散的图像消抖算法
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2008
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Resumo |
对于图像抖动产生偏移,提出了一种基于各向异性非线性扩散以及抖动估计的抖动消除算法。这种各向异性非线性扩散的模型由两项组成,即扩散项以及强制项。基本思想就是对于边界点以及图像内部的点分别进行处理。利用Newton-Raphson算法最小化抖动误差,估计出抖动偏移量。实验结果表明本文的抖动消除技术比其他方法的消除性能好,恢复效果接近于理想图像且性能稳定。 For displacement on image jitter,a new method based on an anisotropic nonlinear diffusion and jitter estimation is proposed in this paper.This anisotropic nonlinear diffusion model has two terms:the diffusion and the forcing term.The basic idea is that boundary points and interior points of the objects that make up the image are treated differently.Using Newton-Raphson algorithm,jitter displacement is estimated by minimizing jitter error.Numerical results illustrate that the new method performs better than ... |
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Palavras-Chave | #图像抖动 #各向异性非线性扩散 #图像消抖 #Newton-Raphson算法 |
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期刊论文 |