Title
Enhanced adaptive loop filter for motion compensated frame.
Abstract
We propose an adaptive loop filter to remove the redundancy between current and motion compensated frames so that the residual signal is minimized, thus coding efficiency increases. The loop filter coefficients and offset are optimized for each frame or a set of blocks to minimize the total energy of the residual signal resulting from motion estimation and compensation. The optimized loop filter with offset is applied for the set of blocks where the filtering process gives coding gain based upon rate-distortion cost. The proposed loop filter is used for the motion compensated frame whereas the conventional adaptive interpolation filter (AIF) is applied to the reference frames to interpolate the subpixel values. Another conventional scheme adaptive loop filter (ALF), is used after deblocking filtering to enhance quality of reconstructed frames, not to minimize energy of residual signal. The proposed loop filter can be used in combination with the AIF and ALF. Experimental results show that proposed algorithm provides the averaged bit reduction of 8% compared to conventional H.264/AVC scheme. When the proposed scheme is combined with AIF and ALF, the coding gain increases even further.
Year
DOI
Venue
2011
10.1109/TIP.2011.2155075
IEEE Transactions on Image Processing
Keywords
Field
DocType
coding efficiency increase,residual signal,proposed loop filter,motion compensated frame,conventional scheme adaptive loop,avc scheme,loop filter coefficient,proposed scheme,proposed algorithm,adaptive loop filter,enhanced adaptive loop filter,optimized loop filter,indexing terms,encoding,indexation,pixel,motion compensation,redundancy,adaptive filters,motion estimation,coding gain,adaptive filter,interpolation,reference frame,indexes
Computer vision,Root-raised-cosine filter,Control theory,Motion compensation,Filter (signal processing),Artificial intelligence,Kernel adaptive filter,Adaptive filter,Motion estimation,Deblocking filter,Mathematics,Filter design
Journal
Volume
Issue
ISSN
20
8
1941-0042
Citations 
PageRank 
References 
3
0.42
14
Authors
4
Name
Order
Citations
PageRank
Young-joe Yoo160.96
Chan-Won Seo2332.18
Jong-ki Han310814.27
T. Q. Nguyen437536.41