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IJSTR >> Volume 8 - Issue 4, April 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Analysis Of Hazy Images Based On K-Means Ground Truth And Quick Shift Segmentation

[Full Text]

 

AUTHOR(S)

Abdul Muqeet, Humera Tariq, Usman Amjad, Asia Samreen

 

KEYWORDS

dark channel, haze, superpixel, Edge Ratio, PSNR, UQI

 

ABSTRACT

Quick shift segmentation with optimal parameters claims for better edge visibility, improved color saturation and halo affects. The proposed method is based on grouping of hazy pixels such that it maximizes the similarity between a reference k-means and quick shift image. The objective of this paper is Qualitative and Quantative analysis of improved Quick shift segmentation based on super pixel segementation. Improved quick shift is based on super pixel based dark channel, K-Means based ground truth and having a fixed rectangular patch to determine dark channel image. The reference image helps in finding optimal quick shift parameters on fly instead of using fixed values for every image. Extensive quantitative (Mean Square Error, Structural similarity, Quality Index, Edge measurements) and qualitative evaluation were performed to show that the proposed method adheres the limitations of the state of the art fog removal methods.

 

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