Evaluation of Fog Reduction Algorithms for Photogrammetric Applications in Agriculture

Haze is a natural scaterring effect of light that can blur images, lowering their quality and difficulting the scene analysis. In this paper, several state-of-the-art dehazing algorithms are evaluated through a subjective method for image quality assesment. The Dark Channel Prior algorithm, which resulted the best option within the evaluated algorithms, was further optimized by manipulating color spaces before its application in order to achieve a better reconstruction of the images.

• Publication year

  2018

• Venue

  International Conferences and Workshop on Bioinspired Intelligence

• Publication date

  2018-07-01

• Fields of study

  Agricultural and Food Sciences, Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.1109/IWOBI.2018.8464186
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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