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<record>
  <title>Influence of Neural Networks on the precision of image Processing</title>
  <journal>Journal of Multimedia Processing and Technologies</journal>
  <author>Saida S. Beknazarova, Dinara K. Kozhamzharova</author>
  <volume>15</volume>
  <issue>2</issue>
  <year>2024</year>
  <doi>https://doi.org/10.6025/jmpt/2024/15/2/45-57</doi>
  <url>https://www.dline.info/jmpt/fulltext/v15n2/jmptv15n2_1.pdf</url>
  <abstract>This paper delves into a novel area of research, exploring how natural events impact the functioning of visualization systems, particularly in maintaining the integrity of the image processing algorithm. As part of this study, a unique filter was devised to eliminate distortions caused by fog. A correction filter was innovatively developed, and an in-depth analysis of the neural networkâ€™s performance with images of varying resolutions was undertaken, leading to insightful recommendations for augmenting the precision of image processing.</abstract>
</record>
