Texture Inpainting Using Covariance in Wavelet Domain

Journal of Intelligent Systems 22 (3):299-315 (2013)
  Copy   BIBTEX

Abstract

In this article, the covariance of wavelet transform coefficients is used to obtain a texture inpainted image. The covariance is obtained by the maximum likelihood estimate. The integration of wavelet decomposition and maximum likelihood estimate of a group of pixels captures the best-fitting texture used to fill in the inpainting area. The image is decomposed into four wavelet coefficient images by using wavelet transform. These wavelet coefficient images are divided into small square patches. The damaged region in each coefficient image is filled by searching a similar square patch around the damaged region in that particular wavelet coefficient image by using covariance.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,349

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Multispinning for Image Denoising.K. V. Suresh & B. N. Aravind - 2012 - Journal of Intelligent Systems 21 (3):271-291.

Analytics

Added to PP
2017-01-11

Downloads
16 (#883,649)

6 months
2 (#1,232,442)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references