Cite this DOI

Tilak Raj, Dr. Manish Malhotra, & Rajat Choudhary (2023). Forensic Identification of the source of the morphed image: A case study on serious female disgrace. *Journal of Science & Technology*, *08*(10), 27–31. https://doi.org/10.46243/jst.2023v8.i10.pp27-31

@article{tilakraj2023forensic,
  author    = {Tilak Raj and Dr. Manish Malhotra and Rajat Choudhary},
  title     = {{Forensic Identification of the source of the morphed image: A case study on serious female disgrace}},
  journal   = {Journal of Science \& Technology},
  year      = {2023},
  volume    = {08},
  number    = {10},
  pages     = {27--31},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2023v8.i10.pp27-31},
  url       = {https://doi.org/10.46243/jst.2023v8.i10.pp27-31},
  language  = {en},
  abstract  = {he paradigm of the nature and means of functioning of crimes involving female humiliation has evolved as a result of advancements in digital image processing tools and techniques. Using digital image acquisition and transposition technology, altered images are produced that are closer to perfection. By employing various image enhancement techniques on suspected parts of the digital image and doing a pixel-by-pixel analysis of the observations obtained there by an expert in processing images, you can detect editing or morphing anomalies. In this case study, the authors provided an in-depth review of a morphing image and obtained proof that the image was taken from a website. Following website exploration, the source image was located using morphological criteria. The source image that was transformed and recognized contained the same quantization for the horizontal and vertical resolution, measured in DPI (dots per inch), and bit depth.}
}

TY  - JOUR
TI  - Forensic Identification of the source of the morphed image: A case study on serious female disgrace
AU  - Tilak Raj
AU  - Dr. Manish Malhotra
AU  - Rajat Choudhary
JO  - Journal of Science & Technology
PY  - 2023
DA  - 2023///
VL  - 08
IS  - 10
SP  - 27
EP  - 31
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - he paradigm of the nature and means of functioning of crimes involving female humiliation has evolved as a result of advancements in digital image processing tools and techniques. Using digital image acquisition and transposition technology, altered images are produced that are closer to perfection. By employing various image enhancement techniques on suspected parts of the digital image and doing a pixel-by-pixel analysis of the observations obtained there by an expert in processing images, you can detect editing or morphing anomalies. In this case study, the authors provided an in-depth review of a morphing image and obtained proof that the image was taken from a website. Following website exploration, the source image was located using morphological criteria. The source image that was transformed and recognized contained the same quantization for the horizontal and vertical resolution, measured in DPI (dots per inch), and bit depth.
DO  - 10.46243/jst.2023v8.i10.pp27-31
UR  - https://doi.org/10.46243/jst.2023v8.i10.pp27-31
ER  -

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    "type": "article-journal",
    "id": "10.46243/jst.2023v8.i10.pp27-31",
    "DOI": "10.46243/jst.2023v8.i10.pp27-31",
    "URL": "https://doi.org/10.46243/jst.2023v8.i10.pp27-31",
    "title": "Forensic Identification of the source of the morphed image: A case study on serious female disgrace",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
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            "family": "Tilak Raj"
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            "family": "Dr. Manish Malhotra"
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                2023
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    "volume": "08",
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    "page": "27-31",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "he paradigm of the nature and means of functioning of crimes involving female humiliation has evolved as a result of advancements in digital image processing tools and techniques. Using digital image acquisition and transposition technology, altered images are produced that are closer to perfection. By employing various image enhancement techniques on suspected parts of the digital image and doing a pixel-by-pixel analysis of the observations obtained there by an expert in processing images, you can detect editing or morphing anomalies. In this case study, the authors provided an in-depth review of a morphing image and obtained proof that the image was taken from a website. Following website exploration, the source image was located using morphological criteria. The source image that was transformed and recognized contained the same quantization for the horizontal and vertical resolution, measured in DPI (dots per inch), and bit depth.",
    "ISSN": "2456-5660"
}

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.2023v8.i10.pp27-31 gives all four in one JSON answer.