dc.contributor.author |
Wang, Yuanyu |
|
dc.contributor.author |
Yuen, Peter W. T. |
|
dc.date.accessioned |
2017-07-03T13:23:34Z |
|
dc.date.available |
2017-07-03T13:23:34Z |
|
dc.date.issued |
2017-05-26 |
|
dc.identifier.citation |
Wang 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 053111 |
en_UK |
dc.identifier.issn |
0091-3286 |
|
dc.identifier.uri |
http://dx.doi.org/10.1117/1.OE.56.5.053111 |
|
dc.identifier.uri |
http://dspace.lib.cranfield.ac.uk/handle/1826/12146 |
|
dc.description.abstract |
A 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_UK |
dc.language.iso |
en |
en_UK |
dc.publisher |
SPIE |
en_UK |
dc.rights |
©2017 SPIE. This is the Author Accepted Manuscript.
Please refer to any applicable publisher terms of use. |
|
dc.subject |
image dehazing |
en_UK |
dc.subject |
partitioning reconstruction |
en_UK |
dc.subject |
alternating fast-weighted guided filters |
en_UK |
dc.subject |
transmission |
en_UK |
dc.title |
Image dehazing based on partitioning reconstruction and entropy-based alternating fast-weighted guided filters |
en_UK |
dc.type |
Article |
en_UK |