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Noise Cancellation from Low Light Images using Non Local Means Denoising

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dc.contributor.author Uddin, Nasim
dc.contributor.author Jhilik, Somia Jahan
dc.contributor.author Nahar, Najmun
dc.date.accessioned 2022-04-07T08:59:22Z
dc.date.available 2022-04-07T08:59:22Z
dc.date.issued 2021-05-02
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/7784
dc.description.abstract Noise is often present in digital images during the steps of image acquisition, coding, transmission and processing. Low-light is also a challenging area for image processing, either for enhanced visibility and efficiency, or for application-oriented tasks such as detection. In image processing, denoising images and object detection is a fundamental issue. In this paper we will try to give an overview on how we are going to do with the help of Non local means denoising algorithm and image sharpening for edge defining more significantly. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Image processing en_US
dc.subject Active noise control en_US
dc.title Noise Cancellation from Low Light Images using Non Local Means Denoising en_US
dc.type Other en_US


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