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DC Field | Value | Language |
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dc.contributor.author | Mishra, Shivam Kumar | - |
dc.contributor.author | Khan, Nafis Uddin [Guided by] | - |
dc.date.accessioned | 2023-09-12T13:31:16Z | - |
dc.date.available | 2023-09-12T13:31:16Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9942 | - |
dc.description | Enrolment No. 191394 | en_US |
dc.description.abstract | Today's imaging conditions could result in almost little vision for the human eye. They may frequently be caused by a loss of clarity, similar to influences included in the earth's atmosphere that affect the visuals owing to haze, fog, and other daytime impacts. The impacts on such photos may exist, thus it is important to clarify and improve the relevant information obtained under those circumstances in order to identify the objects as well as other useful information and that is why Image enhancement techniques are becoming increasingly popular and useful in such scenarios.One of the key elements of digital image processing is image refinement, which is crucial for making an image useful for a variety of purposes, including those related digital application. Poor-quality photographs can be improved with the help of image refinement and reconstruction using machine learning. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Jaypee University of Information Technology, Solan, H.P. | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Image processing | en_US |
dc.title | Image Refinement and Reconstruction using Machine Learning | en_US |
dc.type | Project Report | en_US |
Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
File | Description | Size | Format | |
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Image Refinement and Reconstruction using Machine Learning.pdf | 1.98 MB | Adobe PDF | View/Open |
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