Cite this DOI

G.Madhavi (2020). Implementation of Wavelet and Curvelet Transform for Image Fusion. *Journal of Science & Technology*, *05*(04), 361–365. https://doi.org/10.46243/jst.2020.v5.i4.pp361-365

@article{gmadhavi2020implementation,
  author    = {G.Madhavi},
  title     = {{Implementation of Wavelet and Curvelet Transform for Image Fusion}},
  journal   = {Journal of Science \& Technology},
  year      = {2020},
  month     = {aug},
  volume    = {05},
  number    = {04},
  pages     = {361--365},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2020.v5.i4.pp361-365},
  url       = {https://doi.org/10.46243/jst.2020.v5.i4.pp361-365},
  language  = {en},
  abstract  = {This paper introduces a wavelet transform, as well as a second generation curvelet transform, as a basis for the creation of image fusion techniques. We also present a wavelet transform, as well as an image fusion strategy that is founded on the wavelet transform. With the wavelet transform, it is not feasible to correctly represent edges and singularities. So the wavelet transform is used in conjunction with the second generation curvelet transform, and the image fusion process is completed as a result of this combination. This approach is used to a variety of experiments to demonstrate its value, including multi-focus picture fusion and complementary image fusion, in order to demonstrate its effectiveness. Despite the fact that there are a significant number of source pictures employed, the suggested approach manages to maintain critical information from each one of the source images. It is utilised in this work to combine images and apply various wavelet treatments to them. It also makes use of the Second Generation Curvelet Transform, among other things.}
}

TY  - JOUR
TI  - Implementation of Wavelet and Curvelet Transform for Image Fusion
AU  - G.Madhavi
JO  - Journal of Science & Technology
PY  - 2020
DA  - 2020/08/28/
VL  - 05
IS  - 04
SP  - 361
EP  - 365
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - This paper introduces a wavelet transform, as well as a second generation curvelet transform, as a basis for the creation of image fusion techniques. We also present a wavelet transform, as well as an image fusion strategy that is founded on the wavelet transform. With the wavelet transform, it is not feasible to correctly represent edges and singularities. So the wavelet transform is used in conjunction with the second generation curvelet transform, and the image fusion process is completed as a result of this combination. This approach is used to a variety of experiments to demonstrate its value, including multi-focus picture fusion and complementary image fusion, in order to demonstrate its effectiveness. Despite the fact that there are a significant number of source pictures employed, the suggested approach manages to maintain critical information from each one of the source images. It is utilised in this work to combine images and apply various wavelet treatments to them. It also makes use of the Second Generation Curvelet Transform, among other things.
DO  - 10.46243/jst.2020.v5.i4.pp361-365
UR  - https://doi.org/10.46243/jst.2020.v5.i4.pp361-365
ER  -

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    "URL": "https://doi.org/10.46243/jst.2020.v5.i4.pp361-365",
    "title": "Implementation of Wavelet and Curvelet Transform for Image Fusion",
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    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "This paper introduces a wavelet transform, as well as a second generation curvelet transform, as a basis for the creation of image fusion techniques. We also present a wavelet transform, as well as an image fusion strategy that is founded on the wavelet transform. With the wavelet transform, it is not feasible to correctly represent edges and singularities. So the wavelet transform is used in conjunction with the second generation curvelet transform, and the image fusion process is completed as a result of this combination. This approach is used to a variety of experiments to demonstrate its value, including multi-focus picture fusion and complementary image fusion, in order to demonstrate its effectiveness. Despite the fact that there are a significant number of source pictures employed, the suggested approach manages to maintain critical information from each one of the source images. It is utilised in this work to combine images and apply various wavelet treatments to them. It also makes use of the Second Generation Curvelet Transform, among other things.",
    "ISSN": "2456-5660"
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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.2020.v5.i4.pp361-365 gives all four in one JSON answer.