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An Image Denoising Method for Noises Based on Mixed Gaussian Distribution in HSV Color Space

机译:HSV颜色空间中基于混合高斯分布的噪声图像降噪方法

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摘要

Traditional image noise model is created for color images in RGB color space. Differing with the traditional model, noise model is created in HSV space towards origins of noise generation in this paper. It is supposed that noise images based on mixed Gaussian distribution with zero mean value on three dimensions, including hue, saturation and value, are quite similar to actual situations. For images are characterized by simple background, EM algorithm is applied to estimation of noise parameters and related parameters are applied to wavelet threshold denoising in this paper. Results of the experiment show that both estimation and denoising are satisfactory.
机译:传统图像噪声模型是为RGB颜色空间中的彩色图像创建的。与传统模型不同,本文在HSV空间中针对噪声产生的起源创建了噪声模型。假设基于混合高斯分布的噪声图像在色度,饱和度和值三个维度上均值为零,这与实际情况非常相似。针对背景特征简单的图像,本文将EM算法应用于噪声参数估计,并将相关参数应用于小波阈值去噪。实验结果表明,估计和去噪均令人满意。

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