Cite this DOI

Latha, J., G.Usharani, & Author, C. (2021). Enhancement of Underwater Images Using FPGA. *Journal of Science & Technology*, *06*(03), 62–66. https://doi.org/10.46243/jst.2021.v6.i3.pp62-66

@article{latha2021enhancement,
  author    = {Latha, J.Sneha and G.Usharani and Author, Corresponding},
  title     = {{Enhancement of Underwater Images Using FPGA}},
  journal   = {Journal of Science \& Technology},
  year      = {2021},
  month     = {may},
  volume    = {06},
  number    = {03},
  pages     = {62--66},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2021.v6.i3.pp62-66},
  url       = {https://doi.org/10.46243/jst.2021.v6.i3.pp62-66},
  language  = {en},
  abstract  = {Due to low illumination and changing environmental circumstances, underwater photography is difficult. The obtained weak images must be upgraded due to limited light offered by the Automated Underwater Vehicles (AUV). In order to employ AUVs, image enhancing algorithms must be created in hardware. Because of their intrinsic parallelism, Field Programmable Gate Arrays (FPGA) have shown to be a superior solution for image processing approaches. Power law transform, contrast stretching, Histogram Equalization, Histogram Stretching, and Negative transformation are among the spatial domain procedures used to preprocess an underwater picture. A comparison of the above-mentioned picture enhancement technique implemented in FPGA is conducted in this work.}
}

TY  - JOUR
TI  - Enhancement of Underwater Images Using FPGA
AU  - Latha, J.Sneha
AU  - G.Usharani
AU  - Author, Corresponding
JO  - Journal of Science & Technology
PY  - 2021
DA  - 2021/05/23/
VL  - 06
IS  - 03
SP  - 62
EP  - 66
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - Due to low illumination and changing environmental circumstances, underwater photography is difficult. The obtained weak images must be upgraded due to limited light offered by the Automated Underwater Vehicles (AUV). In order to employ AUVs, image enhancing algorithms must be created in hardware. Because of their intrinsic parallelism, Field Programmable Gate Arrays (FPGA) have shown to be a superior solution for image processing approaches. Power law transform, contrast stretching, Histogram Equalization, Histogram Stretching, and Negative transformation are among the spatial domain procedures used to preprocess an underwater picture. A comparison of the above-mentioned picture enhancement technique implemented in FPGA is conducted in this work.
DO  - 10.46243/jst.2021.v6.i3.pp62-66
UR  - https://doi.org/10.46243/jst.2021.v6.i3.pp62-66
ER  -

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    "URL": "https://doi.org/10.46243/jst.2021.v6.i3.pp62-66",
    "title": "Enhancement of Underwater Images Using FPGA",
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    "abstract": "Due to low illumination and changing environmental circumstances, underwater photography is difficult. The obtained weak images must be upgraded due to limited light offered by the Automated Underwater Vehicles (AUV). In order to employ AUVs, image enhancing algorithms must be created in hardware. Because of their intrinsic parallelism, Field Programmable Gate Arrays (FPGA) have shown to be a superior solution for image processing approaches. Power law transform, contrast stretching, Histogram Equalization, Histogram Stretching, and Negative transformation are among the spatial domain procedures used to preprocess an underwater picture. A comparison of the above-mentioned picture enhancement technique implemented in FPGA is conducted in this work.",
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2021.v6.i3.pp62-66 gives all four in one JSON answer.