Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 신현철 | - |
dc.date.accessioned | 2018-02-12T02:34:23Z | - |
dc.date.available | 2018-02-12T02:34:23Z | - |
dc.date.issued | 2015-09 | - |
dc.identifier.citation | IET IMAGE PROCESSING, v. 9, No. 9, Page. 725-734 | en_US |
dc.identifier.issn | 1751-9659 | - |
dc.identifier.issn | 1751-9667 | - |
dc.identifier.uri | http://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2015.0087 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/36568 | - |
dc.description.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. | en_US |
dc.description.sponsorship | This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korean Government (MOE) (NRF-2013R1A1A2004421). | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | INST ENGINEERING TECHNOLOGY-IET | en_US |
dc.title | Real-time single image dehazing using block-to-pixel interpolation and adaptive dark channel prior | en_US |
dc.type | Article | en_US |
dc.relation.no | 9 | - |
dc.relation.volume | 9 | - |
dc.identifier.doi | 10.1049/iet-ipr.2015.0087 | - |
dc.relation.page | 725-734 | - |
dc.relation.journal | IET IMAGE PROCESSING | - |
dc.contributor.googleauthor | Yu, T | - |
dc.contributor.googleauthor | Riaz, I | - |
dc.contributor.googleauthor | Piao, J | - |
dc.contributor.googleauthor | Shin, H | - |
dc.relation.code | 2015003750 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DIVISION OF ELECTRICAL ENGINEERING | - |
dc.identifier.pid | shin | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.