Maximum-likelihood parameter estimation for image ringing-artifact removal

  • Authors:
  • Seungjoon Yang;Yu-Hen Hu;T. Q. Nguyen;D. L. Tull

  • Affiliations:
  • Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI;-;-;-

  • Venue:
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Year:
  • 2001

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Abstract

At low bit rates, image compression codecs based on overlapping transforms introduce spurious oscillations known as ringing artifacts in the vicinity of major edges. Unlike previous works, we present a maximum-likelihood approach to the ringing-artifact removal problem. Our approach employs a parameter estimation method based on the k-means algorithm with the number of clusters determined by a cluster-separation measure. The proposed algorithm and its simplified approximation are applied to JPEG2000 compressed images. Our results show effective and efficient removal of ringing artifacts