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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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| Paper Title: | VIDEO DEHAZING/DEFOGGING USING ML |
| Authors Name: | Jatin Sharma , Vedant Bhati |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_219219
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| Published Paper Id: | IJNRD2404601 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | The presence of haze in the atmosphere degrades the quality of images captured by visible camera sensors. The removal of haze, called dehazing, is typically performed under the physical degradation model, which necessitates a solution of an ill-posed inverse problem[3]. To relieve the difficulty of the inverse problem, a novel prior called dark channel prior (DCP) was recently proposed and has received a great deal of attention. The DCP is derived from the characteristic of natural outdoor images that the intensity value of at least one color channel within a local window is close to zero[1]. Based on the DCP, the dehazing is accomplished through four major steps: atmospheric light estimation, transmission map estimation, transmission map refinement, and image reconstruction. This four-step dehazing process makes it possible to provide a step-by-step approach to the complex solution of the ill-posed inverse problem. This also enables us to shed light on the systematic contributions of recent researches related to the DCP for each step of the dehazing process[1]. Our detailed survey and experimental analysis on DCP-based methods will help readers understand the effectiveness of the individual step of the dehazing process and will facilitate development of advanced dehazing algorithms. |
| Keywords: | ML Machine learning video dehazing |
| Cite Article: | "VIDEO DEHAZING/DEFOGGING USING ML", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.g1-g8, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404601.pdf |
| Downloads: | 00029 |
| 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:IJNRD2404601 Registration ID: 219219 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: g1-g8 Country: Delhi, Delhi, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404601 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404601 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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