Reduction of Snow and Rain Noise in Spatial Domain

Izdanje: Sinteza 2016 - International Scientific Conference on ICT and E-Business Related Research

DOI: 10.15308/Sinteza-2016-287-292

Link: https://doi.org/10.15308/Sinteza-2016-287-292

Apstrakt:
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.
Ključne reči: digital image processing, noises in the spatial domain, median filter, averaging filter, robust multimodal method
Kategorije objave: Radovi na konferenciji Sinteza 2016, Beograd, Srbija

Preuzimanje citata:

BibTeX format 
@article{article,
  author  = {R. Ivković, M. Petrović, D. Miljković, P. Spalević and I. Milošević}, 
  title   = {Reduction of Snow and Rain Noise in Spatial Domain},
  journal = {Sinteza 2016 - International Scientific Conference on ICT and E-Business Related Research},
  year    = 2016,
  doi     = {10.15308/Sinteza-2016-287-292}
}
RefWorks Tagged format 
RT Conference Proceedings
A1 Ratko Ivković
A1 Mile Petrović
A1 Dragiša Miljković
A1 Petar Spalević
A1 Ivana Milošević
T1 Reduction of Snow and Rain Noise in Spatial Domain
AD International Scientific Conference Sinteza, Beograd, Srbija
YR 2016
NO doi: 10.15308/Sinteza-2016-287-292
Unapred formatirani prikaz citata
R. Ivković, M. Petrović, D. Miljković, P. Spalević and I. Milošević, Reduction of Snow and Rain Noise in Spatial Domain, International Scientific Conference Sinteza, 2016, doi:10.15308/Sinteza-2016-287-292