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Research Article Open access CC BY 4.0

Robust Multiple Reblurred-Based CT Image Enhancement

Ruihua Liu, Yijie Chen, Jian wei

Journal of Advances in Mathematics and Computer Science · pp. 302–309 · Published 4 Nov 2014

10.9734/BJMCS/2015/13749

Abstract

In this paper, we present a new algorithm for solving the blind deconvolution problem. In our method, we reblur a given degraded CT image with R different, but known PSFs, and get R different degraded CT images. Then we blindly deblur using the R new degraded CT images. Also, we introduce Bilateral Total Variation regularization term. In computer simulations in Matlab, it is the most advantages of our proposed algorithm that it performs more effectively than M. Jiang’s ENR method.

Image enhancement blind deconvolution degraded image reblurring

References (10)

  1. 1 Bilateral filtering for gray and color images [DOI]
  2. 2 Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images [DOI]
  3. 3 A regularization approach to joint blur identification and image restoration [DOI]
  4. 4 Two motion-blurred images are better than one [DOI]
  5. 5 Blind image restoration by anisotropic regularization [DOI]
  6. 6 Spiral CT image deblurring for cochlear implantation [DOI]
  7. 7 Development of blind image deconvolution and its applications [DOI]
  8. 8 Moment domain representation of nonblind image deblurring [DOI]
  9. 9 Blind deblurring of spiral CT images Based on ENR and Wiener filter [DOI]
  10. 10 Image Deconvolution by Means of Frequency Blur Invariant Concept [DOI]

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