Image denoising using Principal Component Analysis (PCA) and Pixel Surge Model (PSM)

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

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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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