Optimal block boundary pre/postfiltering for wavelet-based image and video compression.
This paper presents a pre/postfiltering framework to reduce the reconstruction errors near block boundaries in wavelet-based image and video compression. Two algorithms are developed to obtain the optimal filter, based on boundary filter bank and polyphase structure, respectively. A low-complexity structure is employed to approximate the optimal solution. Performances of the proposed method in the removal of JPEG 2000 tiling artifact and the jittering artifact of three-dimensional wavelet video coding are reported. Comparisons with other methods demonstrate the advantages of our pre/postfiltering framework.
Liang
Jie
J
School of Engineering Science, Simon Fraser University, Burnaby, Canada. jiel@sfu.ca
Tu
Chengjie
C
Tran
Trac D
TD
D000465:Algorithms; D016477:Artifacts; D001185:Artificial Intelligence; D003196:Computer Graphics; D044962:Data Compression / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D009716:Numerical Analysis, Computer-Assisted; D012815:Signal Processing, Computer-Assisted; D014741:Video Recording / Q000379:methods*