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

Authors: L. Mredhula; M.A. Dorairangaswamy

Addresses: Department of Computer Science, Sathyabama University, Chennai, India ' Department of CSE & IT, Aarupadai Veedu Institute of Technology (AVIT), Paiyanoor, Chennai, India

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.

Keywords: image denoising; PCA; principal component analysis; PSM; pixel surge model; Sobel edge detection; image processing.

DOI: 10.1504/IJSISE.2016.078255

International Journal of Signal and Imaging Systems Engineering, 2016 Vol.9 No.4/5, pp.311 - 319

Received: 24 Oct 2013
Accepted: 23 May 2014
Published online: 10 Aug 2016 *

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