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Real-time single image dehazing using block-to-pixel interpolation and adaptive dark channel prior

Title
Real-time single image dehazing using block-to-pixel interpolation and adaptive dark channel prior
Author
신현철
Issue Date
2015-09
Publisher
INST ENGINEERING TECHNOLOGY-IET
Citation
IET IMAGE PROCESSING, v. 9, No. 9, Page. 725-734
Abstract
The authors propose a novel and efficient method for single image dehazing. To accelerate the transmission estimation process, a block-to-pixel interpolation method is used for fine dark channel computation, in which the block-level dark channel is first computed, and then the fine pixel-level dark channel is obtained by a weighted voting of the block-level dark channel to preserve edges and smooth out texture noise. This technique can be used for a direct transmission map generation without a computationally expensive refinement step. Since the dark channel prior (DCP) is not valid in bright (sky) regions, they propose an adaptive DCP modelled by a Gaussian curve that produces a more natural recovered image of the sky and other bright regions. In addition, a scaling method for transmission map computation is proposed to further accelerate the dehazing method. Through experiments, they show that the proposed adaptive block-to-pixel technique is about 30 times faster and produces improved recovered images than the well-known state-of-the-art DCP approach.
URI
http://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2015.0087http://hdl.handle.net/20.500.11754/36568
ISSN
1751-9659; 1751-9667
DOI
10.1049/iet-ipr.2015.0087
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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