去除乘性噪声的积分微分方程模型

doi:10.3969/j.issn.1001-2400.2013.03.020

Abstract

Abstract:

Multiplicative noise removal is an important research topic on image processing. This paper presents a novel integro-differential equation approach for removing multiplicative noise. Under the assumption that multiplicative noise follows a Gamma distribution, we firstly discuss the classical AA model, and then in order to arrive at the novel integro-differential equation, integrate in inverse scale space a succession of refined ‘slices’ of the image. The novel integro-differential equation includes a monotone increasing scaling function. By choosing an adaptive scaling function, this equation can remove multiplicative noise efficiently. Finally, the experimental results demonstrate the better performance of the proposed model.

Key words: image denoising, total variation minimization, multiplicative noise, integro-differential equation

CLC Number:

TP751

BAI Jian;FENG Xiangchu. Model based on the integro-differential equation for multiplicative noise removal[J].J4, 2013, 40(3): 132-138.

References

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Model based on the integro-differential equation for multiplicative noise removal

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