DocumentCode :
417558
Title :
Content based blurring coding artifact reduction using patch-based texture synthesis [image/video coding applications]
Author :
Sambhare, Rajas A. ; Hu, Yu Hen
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
Volume :
3
fYear :
2004
fDate :
17-21 May 2004
Abstract :
Blurring artifacts occur in low bit-rate image or video coding. This manifests itself as a blurred patch within a textured region. Previously, we proposed a constrained texture synthesis postprocessing algorithm to regenerate the texture of the blurred patch using surrounding texture of the same kind. However, a human operator must manually identify the blurred target, and a valid source region from its surroundings. In this work, we present an effort to automate this process. Specifically, we developed an efficient modified k-means algorithm method to segment and identify potentially blurred patches; and a content-based region selection method to choose the candidate source region. Preliminary experiment results indicate that our algorithm produces results consistent with that produced by a human operator.
Keywords :
image coding; image restoration; image segmentation; image texture; video coding; candidate source content-based region selection; content based blurring coding artifact reduction; k-means algorithm method; low bit-rate image coding; patch segmentation; patch-based texture synthesis; texture synthesis; textured region blurred patch; video coding; Bit rate; Clustering algorithms; Filters; Humans; Image coding; Image restoration; Image segmentation; Smoothing methods; Video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8484-9
Type :
conf
DOI :
10.1109/ICASSP.2004.1326515
Filename :
1326515
Link To Document :
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