Survey on Quantitative Performance Evaluation Methods of Image Dehazing


KIPS Transactions on Software and Data Engineering, Vol. 4, No. 12, pp. 571-576, Dec. 2015
10.3745/KTSDE.2015.4.12.571,   PDF Download:

Abstract

Image dehazing has been extensively studied, but the performance evaluation method for dehazing techniques has not attracted significant interest. This paper surveys many existing performance evaluation methods of image dehazing. In order to analyze the reliability of the evaluation methods, synthetic hazy images are first reconstructed using the ground-truth color and depth image pairs, and the dehazed images are then compared with the original haze-free images. Meanwhile we also evaluate dehazing algorithms not by the dehazed images`` quality but by the performance of computer vision algorithms before/after applying image dehazing. All the aforementioned evaluation methods are analyzed and compared, and research direction for improving the existing methods is discussed.


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Cite this article
[IEEE Style]
S. Lee, J. T. Yu, S. W. Jung, S. W. Ra, "Survey on Quantitative Performance Evaluation Methods of Image Dehazing," KIPS Transactions on Software and Data Engineering, vol. 4, no. 12, pp. 571-576, 2015. DOI: 10.3745/KTSDE.2015.4.12.571.

[ACM Style]
Sungmin Lee, Jae Taeg Yu, Seung Won Jung, and Sung Woong Ra. 2015. Survey on Quantitative Performance Evaluation Methods of Image Dehazing. KIPS Transactions on Software and Data Engineering, 4, 12, (2015), 571-576. DOI: 10.3745/KTSDE.2015.4.12.571.