Blind Image Deblurring with Modified Richardson-Lucy Deconvolution for Ringing Artifact Suppression

  • Hao-Liang Yang
  • Yen-Hao Chiao
  • Po-Hao Huang
  • Shang-Hong Lai
Conference paper

DOI: 10.1007/978-3-642-25346-1_22

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7088)
Cite this paper as:
Yang HL., Chiao YH., Huang PH., Lai SH. (2011) Blind Image Deblurring with Modified Richardson-Lucy Deconvolution for Ringing Artifact Suppression. In: Ho YS. (eds) Advances in Image and Video Technology. PSIVT 2011. Lecture Notes in Computer Science, vol 7088. Springer, Berlin, Heidelberg

Abstract

In this paper, we develop a unified image deblurring framework that consists of both blur kernel estimation and non-blind image deconvolution. For blind kernel estimation, we propose a patch selection procedure and integrate it with a coarse-to-fine kernel estimation algorithm to develop a robust blur kernel estimation algorithm. For the non-blind image deconvolution, we modify the traditional Richardson-Lucy (RL) image restoration algorithm to suppress the notorious ringing artifact in the regions around strong edges. Experimental results on some real blurred images are shown to demonstrate the improved efficiency and image restoration by using the proposed algorithm.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Hao-Liang Yang
    • 1
  • Yen-Hao Chiao
    • 1
  • Po-Hao Huang
    • 1
  • Shang-Hong Lai
    • 1
  1. 1.Dept. of Computer ScienceNational Tsing Hua UniversityHsinchuTaiwan

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