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Multifractal analysis in denoising of color images

机译:彩色图像去噪中的多重分形分析

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摘要

One of the most eye-catching problem in image processing is the recognition of noise free images, especially in color image analysis. The focal theme of this paper is to present the multifractal analysis using Generalized Fractal Dimensions (GFD) for color images with RGB components and invoke the GFD in the detection of noise free color images. GFD is the measure of complexity and the chaotic nature (irregularity) in the fractal images or highly corrupted images. In this scheme, Median Filter is used to denoise the color images corrupted by the Salt and Pepper Noise. It was shown that GFD measure classifies the Noisy and Noise Free Images very accurately and it was demonstrated by the graphical methods for the natural color images. This multifractal measure is a non-linear technique and it is a very efficient tool in the color image analysis to detect the noiseless color images.
机译:图像处理中最引人注目的问题之一是无噪图像的识别,尤其是在彩色图像分析中。本文的主题是使用广义分形维数(GFD)对具有RGB分量的彩色图像进行多重分形分析,并在无噪声彩色图像检测中调用GFD。 GFD是分形图像或高度损坏图像中复杂性和混沌性质(不规则性)的量度。在该方案中,中值滤波器用于对被盐和胡椒噪声破坏的彩色图像进行降噪。结果表明,GFD度量可以非常精确地对无噪声和无噪声图像进行分类,并通过图形方法对自然彩色图像进行了演示。这种多重分形测量是一种非线性技术,它是彩色图像分析中检测无噪声彩色图像的非常有效的工具。

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