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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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Issue: May 2024
Volume 9 | Issue 5
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| Paper Title: | Visual Resurgence - Image Restoration on Criminal Imagery |
| Authors Name: | Sudharsan R , Sindhanai Sirpy S , Kiran Kumar L , Harshan A , Jeba N |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_216641
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| Published Paper Id: | IJNRD2403666 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| Abstract: | This project focuses on complex processing approaches to address typical problems in low-resolution images, with the goal of improving criminal imagery through an advanced image restoration pipeline. Distortions that are specifically targeted include cracks, scratches, aging effects, and resizing artifacts. The initiative systematically enhances image quality by utilizing cutting-edge image restoration algorithms, which recreate and amplify visual information for forensic investigation by law enforcement. The methodology acknowledges the difficulties in managing many forms of distortions within a single image and takes a thorough approach to handling them. By avoiding the addition of artificial components, the restoration method is intended to maintain the authenticity of facial features. The ramifications are profound, providing investigators with a better knowledge of facial features and facilitating criminal identification through sharper, more detailed photos. The initiative has the potential to enhance facial recognition system matches and raise the bar for forensic analysis as a whole. In conclusion, this study describes a complex method of picture enhancement and emphasizes how it can help law enforcement with criminal investigations by giving them better, more readable photos for in-depth forensic examination. |
| Keywords: | Image Restoration, Generative Adversarial Networks, Criminal Mugshots, Data Preprocessing, Deep Learning. |
| Cite Article: | "Visual Resurgence - Image Restoration on Criminal Imagery ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.g532-g538, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403666.pdf |
| Downloads: | 00039 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2403666 Registration ID: 216641 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: g532-g538 Country: Dharmapuri , Tamil Nadu , India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403666 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403666 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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