Abstract
The image noise is considered as one of the significant problems in scientific applications. The simulation of the speckle noise within a standard image is studied using the presented algorithm. Different speckle noise ratios were added, with per cent (0.01–0.06), to simulate noise within different images. This added noise based on the mathematical equations to simulate the behavior of this type of noise. The main work divided into two steps; the first step is the classification method which based on the minimum distance and it used to classify the tested image with different homogenous areas and compare it with the corresponding noise images in the same location. In the first step, the knowledge of understanding the behavior of speckle noise achieved. The second step is the statistical criteria namely mean and standard deviation which is used to calculate the speckle factor (SF) to know the effect of noise within the image. In this step, the effect of the noise is obvious by checking the statistical values of SF. The behavior of the speckle noise is well-described and recognize based on the presented algorithm and method.
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Rasham, N.H., Abbas, H.K., Abdul Razaq, A.A., Mohamad, H.J. (2022). Simulation of Speckle Noise Using Image Processing Techniques. In: Smys, S., Bestak, R., Palanisamy, R., Kotuliak, I. (eds) Computer Networks and Inventive Communication Technologies . Lecture Notes on Data Engineering and Communications Technologies, vol 75. Springer, Singapore. https://doi.org/10.1007/978-981-16-3728-5_37
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