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Yang, Seungjoon
Signal Processing Lab (SPL)
Research Interests
  • Statistical signal processing, multi-rate systems, image/video processing, computer vision

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Maximum-likelihood parameter estimation for image ringing-artifact removal

Cited 40 times inthomson ciCited 53 times inthomson ci
Title
Maximum-likelihood parameter estimation for image ringing-artifact removal
Author
Yang, SeungjoonHu, YHNguyen, TQTull, DL
Keywords
Hierarchical clustering; Image ringing-artifact; Maximum-likelihood estimation; Robust filter
Issue Date
2001-08
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, v.11, no.8, pp.963 - 973
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.
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DOI
10.1109/76.937440
ISSN
1051-8215
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EE_Journal Papers
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