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Wavelet-based very low bit-rate video coding using image warping and overlapped block motion compensation

基于小波变换的极低码率视频编码使用图像变形和重叠块运动补偿

作     者:Heising, G Marpe, D Cycon, HL Petukhov, AP 

作者机构:Heinrich Hertz Inst Commun Technol Image Proc Dept Berlin Germany Fachhsch Tech & Wirtschaft Berlin Germany Univ S Carolina Dept Math Columbia SC 29208 USA 

出 版 物:《IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING》 (IEE Proc Vision Image Signal Proc)

年 卷 期:2001年第148卷第2期

页      面:93-101页

核心收录:

主  题:.transform coding compensation image warping motion discontinuities motion vector block motion OBMC warping model 

摘      要:The authors present an algorithm for very low bit-rate video coding that combines new ideas in motion estimation, wavelet filter design, and wavelet-based coding techniques. A new motion compensation technique using image warping and overlapped block motion compensation is proposed to reduce temporal redundancies in a given image sequence. This combined motion model has the advantage of representing more complex motion than simple block matching schemes. To further improve the quality of the temporal prediction, an adaptive grid with variable density according to the varying motion activity of a given scene is generated. An adaptively switched high-quality texture interpolation is employed to cope with the problem of fractional displacements in such a way that both objective and subjective reconstruction quality is improved. Spatial decorrelation of the motion compensated residual images is performed using an one-parametric family of biorthogonal infinite impulse response (IIR) wavelet filters coupled with the highly efficient pre-coding scheme of partitioning, aggregation and conditional coding (PACC). Experimental results demonstrate significant improvements in objective quality of 1.0-2.3 dB PSNR in comparison to the H.263+ test model TMN10 using advanced coding options. In addition, the authors intracoding method provides a performance gain of 0.5 dB PSNR on the average for a test suite of various still images when compared to the emerging still image coding standard JPEG-2000.

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