Wang, YuanyuYuen, Peter W. T.2017-07-032017-07-032017-05-26Wang Y, Yuen P (2017) Image dehazing based on partitioning reconstruction and entropy-based alternating fast-weighted guided filters. Optical Engineering, Volume 56, Issue 5, May 2017, Article number 0531110091-3286http://dx.doi.org/10.1117/1.OE.56.5.053111http://dspace.lib.cranfield.ac.uk/handle/1826/12146A robust image dehazing algorithm based on the first-order scattering of the image degradation model is proposed. In this work, there are three contributions toward image dehazing: (i) a robust method for assessing the global irradiance from the most hazy-opaque regions of the imagery is proposed; (ii) more detailed depth information of the scene can be recovered through the enhancement of the transmission map using scene partitions and entropy-based alternating fast-weighted guided filters; and (iii) crucial model parameters are extracted from in-scene information. This paper briefly outlines the principle of the proposed technique and compares the dehazed results with four other dehazing algorithms using a variety of different types of imageries. The dehazed images have been assessed through a quality figure-of-merit, and experiments have shown that the proposed algorithm effectively removes haze and has achieved a much better quality of dehazed images than all other state-of-the-art dehazing methods employed in this work.en©2017 SPIE. This is the Author Accepted Manuscript. Please refer to any applicable publisher terms of use.image dehazingpartitioning reconstructionalternating fast-weighted guided filterstransmissionArticle