Regularized kernel regression for image deblurring

Published

Journal Article

The framework of kernel regression [1], a non-parametric estimation method, has been widely used in different guises for solving a variety of image processing problems including denoising and interpolation [2]. In this paper, we extend the use of kernel regression for deblurring applications. Furthermore, we show that many of the popular image reconstruction techniques are special cases of the proposed framework. Simulation results confirm the effectiveness of our proposed methods.

Full Text

Duke Authors

Cited Authors

  • Takeda, H; Farsiu, S; Milanfar, P

Published Date

  • December 1, 2006

Published In

Start / End Page

  • 1914 - 1918

International Standard Serial Number (ISSN)

  • 1058-6393

Digital Object Identifier (DOI)

  • 10.1109/ACSSC.2006.355096

Citation Source

  • Scopus