Mredhula, L. and Dorairangaswamy, M. A. (2016) Image denoising using Principal Component Analysis (PCA) and Pixel Surge Model (PSM). INTERNATIONAL JOURNAL OF SIGNAL AND IMAGING SYSTEMS ENGINEERING, 9.0 (46117). pp. 311-319. ISSN 1748-0698
Full text not available from this repository.Abstract
Visual data conveyed as images are making an aggressive thrust as an amazing means of communication in the fast zooming high-tech world. However, it is unfortunate that the image get metamorphosed after transmission as it is habitually tainted with noise. Thus, noise has emerged as one of the most crucial and common challenges in image processing. The received image can be badly in need of pre-processing dispensation before it can be profitably deployed in applications.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | image denoising, PCA, principal component analysis, PSM, pixel surge model, Sobel edge detection |
| Subjects: | Engineering > Engineering |
| Divisions: | Engineering and Technology > Aarupadai Veedu Institute of Technology, Chennai, India Medicine > Aarupadai Veedu Medical College and Hospital, Puducherry, India |
| Depositing User: | Unnamed user with email techsupport@mosys.org |
| Last Modified: | 06 Feb 2026 06:59 |
| URI: | https://ir.vmrfdu.edu.in/id/eprint/6538 |
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