Journal ArticleOPEN ACCESS

Image Denoising using Principal Component Analysis in Wavelet Domain and Total Variation Regularization in Spatial Domain

  • KumarSahu B
  • D. Swami P
International Journal of Computer Applications (2013) 71(12) 40-47
DOI: 10.5120/12414-9183
N/ACitations
Citations of this article
5Readers
Mendeley users who have this article in their library.

Abstract

Abstract This paper presents an efficient denoising technique for removal of noise from digital images by combining filtering in both the transform (wavelet) domain and the spatial domain. The noise under consideration is AWGN and is treated as a Gaussian random ...

Cite

CITATION STYLE

APA

KumarSahu, B., & D. Swami, P. (2013). Image Denoising using Principal Component Analysis in Wavelet Domain and Total Variation Regularization in Spatial Domain. International Journal of Computer Applications, 71(12), 40–47. https://doi.org/10.5120/12414-9183

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free