FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313192011> ?p ?o ?g. }

• W4313192011 endingPage "3047" @default.
• W4313192011 startingPage "3027" @default.
• W4313192011 abstract "Visibility issues in intelligent transportation systems are exacerbated by bad weather conditions such as fog and haze. It has been observed from recent studies that major road accidents have occurred in the world due to low visibility and inclement weather conditions. Single image dehazing attempts to restore a haze-free image from an unconstrained hazy image. We proposed a dehazing method by cascading two models utilizing a novel parameter-adaptive dual-channel modified simplified pulse coupled neural network (PA-DC-MSPCNN). The first model uses a new color channel for removing haze from images. The second model is the improved brightness preserving model (I-GIHE), which retains the brightness of the image while improving the gradient strength. To integrate the results from these two models and provide a pleasing haze-free image, a PA-DC-MSPCNN-based fusion is used. Furthermore, the proposed approach is deployed on a Xilinx Zynq SoC by exploiting the recently released PYNQ platform. The dehazing system runs on a PYNQ-Z2 all-programmable SoC platform, where it will input the camera feed through the FPGA unit and carry out the dehazing algorithm in the ARM core. This configuration has allowed reaching real-time processing speed for image dehazing. The results of dehazing are analyzed using both synthetic and real-world hazy images. Synthetic hazy images are acquired from the O-HAZE, I-HAZE, SOTS, and FRIDA datasets, while real-world hazy images are taken from the RailSem19, E-TUVD dataset, and the internet. For evaluation, twelve cutting-edge approaches are chosen. The proposed method is also analyzed on underwater and low-light images. Extensive experiments indicate that the proposed method outperforms state-of-the-art methods of qualitative and quantitative performances." @default.
• W4313192011 created "2023-01-06" @default.
• W4313192011 creator A5015245069 @default.
• W4313192011 creator A5032299277 @default.
• W4313192011 creator A5045569977 @default.
• W4313192011 creator A5057167764 @default.
• W4313192011 creator A5075849780 @default.
• W4313192011 date "2023-03-01" @default.
• W4313192011 modified "2023-10-14" @default.
• W4313192011 title "A Novel Parameter Adaptive Dual Channel MSPCNN Based Single Image Dehazing for Intelligent Transportation Systems" @default.
• W4313192011 cites W1432818299 @default.
• W4313192011 cites W1471960936 @default.
• W4313192011 cites W1785288869 @default.
• W4313192011 cites W1971693194 @default.
• W4313192011 cites W1979319585 @default.
• W4313192011 cites W1982471090 @default.
• W4313192011 cites W1990554775 @default.
• W4313192011 cites W2011260964 @default.
• W4313192011 cites W2039574789 @default.
• W4313192011 cites W2064522112 @default.
• W4313192011 cites W2076520105 @default.
• W4313192011 cites W2095543923 @default.
• W4313192011 cites W2102166818 @default.
• W4313192011 cites W2109228950 @default.
• W4313192011 cites W2109701261 @default.
• W4313192011 cites W2141983208 @default.
• W4313192011 cites W2161522250 @default.
• W4313192011 cites W2256362396 @default.
• W4313192011 cites W2291262725 @default.
• W4313192011 cites W2440817021 @default.
• W4313192011 cites W2513304712 @default.
• W4313192011 cites W2519481857 @default.
• W4313192011 cites W2767047606 @default.
• W4313192011 cites W2779176852 @default.
• W4313192011 cites W2792830341 @default.
• W4313192011 cites W2810369478 @default.
• W4313192011 cites W2908121769 @default.
• W4313192011 cites W2917503345 @default.
• W4313192011 cites W2924278588 @default.
• W4313192011 cites W2931071678 @default.
• W4313192011 cites W2947801135 @default.
• W4313192011 cites W2948606054 @default.
• W4313192011 cites W2954098340 @default.
• W4313192011 cites W2962754725 @default.
• W4313192011 cites W2962782447 @default.
• W4313192011 cites W2963928582 @default.
• W4313192011 cites W2965166097 @default.
• W4313192011 cites W2982259006 @default.
• W4313192011 cites W2989362930 @default.
• W4313192011 cites W2990007814 @default.
• W4313192011 cites W2997210448 @default.
• W4313192011 cites W2998249728 @default.
• W4313192011 cites W3005570268 @default.
• W4313192011 cites W3006771233 @default.
• W4313192011 cites W3011233913 @default.
• W4313192011 cites W3011919688 @default.
• W4313192011 cites W3020707676 @default.
• W4313192011 cites W3022097719 @default.
• W4313192011 cites W3022149848 @default.
• W4313192011 cites W3023630091 @default.
• W4313192011 cites W3029525904 @default.
• W4313192011 cites W3033551945 @default.
• W4313192011 cites W3034331889 @default.
• W4313192011 cites W3039288327 @default.
• W4313192011 cites W3049255424 @default.
• W4313192011 cites W3083017137 @default.
• W4313192011 cites W3115046191 @default.
• W4313192011 cites W3127238920 @default.
• W4313192011 cites W3127404635 @default.
• W4313192011 cites W3134036581 @default.
• W4313192011 cites W3178960106 @default.
• W4313192011 cites W3183931335 @default.
• W4313192011 cites W3207421887 @default.
• W4313192011 cites W3208610115 @default.
• W4313192011 cites W4205276083 @default.
• W4313192011 cites W4285295506 @default.
• W4313192011 cites W4296872284 @default.
• W4313192011 cites W4312292362 @default.
• W4313192011 cites W4312958254 @default.
• W4313192011 doi "https://doi.org/10.1109/tits.2022.3225797" @default.
• W4313192011 hasPublicationYear "2023" @default.
• W4313192011 type Work @default.
• W4313192011 citedByCount "7" @default.
• W4313192011 countsByYear W43131920112023 @default.
• W4313192011 crossrefType "journal-article" @default.
• W4313192011 hasAuthorship W4313192011A5015245069 @default.
• W4313192011 hasAuthorship W4313192011A5032299277 @default.
• W4313192011 hasAuthorship W4313192011A5045569977 @default.
• W4313192011 hasAuthorship W4313192011A5057167764 @default.
• W4313192011 hasAuthorship W4313192011A5075849780 @default.
• W4313192011 hasConcept C115961682 @default.
• W4313192011 hasConcept C120665830 @default.
• W4313192011 hasConcept C121332964 @default.
• W4313192011 hasConcept C123403432 @default.
• W4313192011 hasConcept C125245961 @default.
• W4313192011 hasConcept C127162648 @default.
• W4313192011 hasConcept C153294291 @default.
• W4313192011 hasConcept C154945302 @default.

• next