Efficient restoration and enhancement of super-resolved X-ray images

Published

Book Section

Our previous work demonstrates the ability to reconstruct a single higher resolution image from fusing a collection of multiple extremely low-dosage aliased X-ray images. While this computationally efficient method eliminates aliasing artifacts associated with undersampling, it does not address the problem of deblurring the reconstructed image. In this paper, we present a fast nonlinear deblurring algorithm, specifically designed to address the nonstationary noise associated with multiframe reconstructed images. The algorithm uses a combination of Fourier sharpening and wavelet denoising similar to the ForWarD algorithm. Experimental results on enhancing digital mammogram images attest to the effectiveness of the presented method. © 2008 IEEE.

Full Text

Duke Authors

Cited Authors

  • Robinson, MD; Farsiu, S; Lo, JY; Toth, CA

Published Date

  • December 1, 2008

Start / End Page

  • 629 - 632

International Standard Book Number 10 (ISBN-10)

  • 1424417643

International Standard Book Number 13 (ISBN-13)

  • 9781424417643

Digital Object Identifier (DOI)

  • 10.1109/ICIP.2008.4711833

Citation Source

  • Scopus