DocumentCode :
1280387
Title :
Multiframe blocking-artifact reduction for transform-coded video
Author :
Gunturk, Bahadir K. ; Altunbasak, Yucel ; Mersereau, Russell M.
Author_Institution :
Center for Signal & Image Process., Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
12
Issue :
4
fYear :
2002
fDate :
4/1/2002 12:00:00 AM
Firstpage :
276
Lastpage :
282
Abstract :
A major drawback of block-based still-image or video-compression methods at low rates is the visible block boundaries that are also known as blocking artifacts. Several methods have been proposed in the literature to reduce these artifacts. Most are single image methods, which do not distinguish between video and still images. However, video has a temporal dimension that can lead to better reconstruction if utilized effectively. We show how to combine information from multiple frames to reduce blocking artifacts. We derive constraint sets using motion between neighboring frames and quantization information that is available in the video bit stream. These multiframe constraint sets can be used to reduce blocking artifacts in an alternating-projections scheme. They can also be included in existing set-theoretic algorithms to improve their performance by narrowing down the feasibility set. Experimental results show the effectiveness of using these multiframe constraint sets
Keywords :
discrete cosine transforms; image reconstruction; image sequences; motion estimation; quantisation (signal); set theory; transform coding; video coding; DCT; POCS; alternating-projections scheme; block-based image compression; block-based video-compression; discrete cosine transform; feasibility set; motion estimation; multiframe blocking-artifact reduction; multiframe constraint sets; multiframe image reconstruction; projections onto convex sets; quantization information; set-theoretic algorithms; transform-coded video; video bit stream; visible block boundaries; Data mining; Discrete cosine transforms; Discrete transforms; Filtering; Image coding; Image reconstruction; Low pass filters; Quantization; Streaming media; Video sequences;
fLanguage :
English
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1051-8215
Type :
jour
DOI :
10.1109/76.999205
Filename :
999205
Link To Document :
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