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Reduction of Snow and Rain Noise in Spatial Domain
Keywords:
digital image processing, noises in the spatial domain, median filter, averaging filter, robust multimodal method
Abstract:
Digital images created under different weather conditions, such as snow and rain can lose clarity. Theory of Digital Image Processing these cases defines as images with extremely high level of the non-brightness (noise reduction in image), while, visual, it can be interpreted in another way. This paper presents practical examples of noise reduction of snow and rain. Algorithms are defined and modified in MATLAB software package and then used or applied to the original images. Gained visual and numerical results provide a clear contribution to the reduction of this type of problem.
CITATION:
IEEE format
R. Ivković, M. Petrović, D. Miljković, P. Spalević, I. Milošević, “Reduction of Snow and Rain Noise in Spatial Domain,” in Sinteza 2016 - International Scientific Conference on ICT and E-Business Related Research, Belgrade, Singidunum University, Serbia, 2016, pp. 287-292. doi:10.15308/Sinteza-2016-287-292
APA format
Ivković, R., Petrović, M., Miljković, D., Spalević, P., Milošević, I. (2016). Reduction of Snow and Rain Noise in Spatial Domain. Paper presented at Sinteza 2016 - International Scientific Conference on ICT and E-Business Related Research. doi:10.15308/Sinteza-2016-287-292
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