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Title: Image Refinement and Reconstruction using Machine Learning
Authors: Mishra, Shivam Kumar
Khan, Nafis Uddin [Guided by]
Keywords: Machine learning
Image processing
Issue Date: 2023
Publisher: Jaypee University of Information Technology, Solan, H.P.
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.
Description: Enrolment No. 191394
Appears in Collections:B.Tech. Project Reports

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