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 |