Title :
Maximum-likelihood parameter estimation for image ringing-artifact removal
Author :
Yang, Seungjoon ; Hu, Yu-Hen ; Nguyen, Truong Q. ; Tull, Damon L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
fDate :
8/1/2001 12:00:00 AM
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
Keywords :
codecs; data compression; image coding; maximum likelihood estimation; transform coding; JPEG2000 compressed images; MLE; approximation; cluster-separation measure; deterministic rule; image compression codecs; image ringing-artifact removal; k-means algorithm; low bit rates; maximum-likelihood parameter estimation; noniterative mapping; overlapping transforms; robust filter; spurious oscillations; Bit rate; Clustering algorithms; Codecs; Filters; Image coding; Maximum likelihood estimation; Parameter estimation; Robustness; Surface fitting; Transform coding;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
