用高阶总变分去噪斑点，高斯，盐和胡椒

2016 International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE) Pub Date : 2016-09-01 DOI:10.1109/ICMETE.2016.37

S. Ghofrani, H. Markarian

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引用次数: 1

摘要

图像增强的降噪是任何图像处理算法的重要问题。提出了基于总变分(TV)正则化的乘性散斑噪声降噪方法，但有时会产生不良的阶梯效应。为了解决这一问题，提出了高阶电视(high -TV)算法。在本文中，我们不仅对散斑噪声，而且对高斯噪声和椒盐噪声也使用了High-TV。针对两幅测试图像和两幅被散斑噪声破坏的真实SAR图像，比较了High-TV和一些基于TV的去噪算法的客观和主观图像评价参数。

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Using High Order Total Variation for Denoising Speckle, Gaussian, Salt & Pepper

Noise reduction for image enhancement is the important issue for any image processing algorithm. Total variation (TV) regularization based methods were proposed for multiplicative speckle noise reduction, though sometimes have the undesirable staircase effect. As a solution for this problem, high order TV (High-TV) algorithm was proposed. In this paper we use the High-TV not only for speckle but also Gaussian and salt & pepper noises. The performance among High-TV and some TV based denoising algorithms are also compared in terms of objective and subjective image assessment parameters for two test images and two true SAR images degraded by speckle noise.

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2016 International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE)

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