Title :
Maximum likelihood parameter estimation for image ringing artifact removal
Author :
Yang, Seungjoon ; Hu, Yu-Hen ; Tull, Damon L. ; Nguyen, Truong Q.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
Abstract :
At low bit rates, image compression codecs based on overlapping transforms introduce spurious oscillation known as ringing artifacts in the vicinity of major edges. The image quality can be enhanced considerably by removing the artifacts. 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 to demonstrate their effectiveness
Keywords :
image coding; image enhancement; maximum likelihood estimation; pattern clustering; JPEG2000 compressed images; MLE; algorithm; approximation; cluster separation measure; image compression codecs; image quality; image ringing artifact removal; k-means algorithm; low bit rates; maximum likelihood parameter estimation; overlapping transforms; parameter estimation method; spurious oscillation; Bayesian methods; Clustering algorithms; Codecs; Degradation; Image coding; Image quality; Maximum likelihood estimation; Parameter estimation; Random variables; Transform coding;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.901102
