Abstract
The hardware and software complex for an automatic level estimation and the removal of Gaussian noise in digital images has been developed. The complex consists of video cameras, computers and the software developed in MATLAB.
The calculation of Gaussian noise level is performed by the developed method, which is based on image filtering and iterative selection of region of interest. As the noise level, its standard deviation is considered. The developed software is designed for the video camera adjustment and is aimed at obtaining a series of images of one object, taken with video camera under the same lighting conditions, but at different values of the brightness parameter. For each image from the series, calculation of noise level and signal-to-noise ratio enable one to determine the optimal value of the brightness parameter.
The mathematical model, the method and the software for automatic removal of Gaussian noise in digital images with the use quasi-optimal Gaussian filter have been developed. A signal is described by the sum of the sinusoids, the amplitudes and periods of which are calculated on the basis of the energy spectrum of the original image. The quasi-optimal value of the standard deviation of the Gaussian filter kernel is obtained as the value at which the standard deviation between the filtered image brightness and the signal brightness is minimized. The accuracy of the developed filtration method has been verified by removing Gaussian noise in a set of 100 test images.
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Balovsyak, S.V., Odaiska, K.S. (2019). Hardware and Software Complex for Automatic Level Estimation and Removal of Gaussian Noise in Images. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education. ICCSEEA 2018. Advances in Intelligent Systems and Computing, vol 754. Springer, Cham. https://doi.org/10.1007/978-3-319-91008-6_15
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DOI: https://doi.org/10.1007/978-3-319-91008-6_15
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