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Motion differential set partition coding for image sequence and video compression

机译:用于图像序列和视频压缩的运动差分集分区编码

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Efficient image sequence coding exploits both intra- and inter-frame correlations. Set partition coding (SPC) is efficient in intra-frame de-correlation for still images. Based on SPC, a novel image sequence coding system, called motion differential SPC (M-D-SPC), is presented in this paper. It removes inter-frame redundancy by re-using the significance map of a previously SPC coded frame. Every frame is encoded and decoded separate from other frames. Furthermore, there is no reconstruction of encoded frames in the encoder, as is done with interframe prediction methods. The M-D-SPC exhibits an auxiliary key frame coding framework, which achieves higher coding efficiency compared to the all-intra-coding schemes and meanwhile maintains the beneficial features of SPC all-intra-coding, such as computational simplicity, rate scalability, error non-propagation, and random frame access. SPIHT-based simulations on hyper-spectral images, 3D/4D medical images, and video show greater compression efficiency than the standard intraframe coding method of motion JPEG2000.
机译:高效的图像序列编码利用帧内和帧间相关性。设置分区编码(SPC)在静止图像的帧内解相关中非常有效。基于SPC,提出了一种新颖的图像序列编码系统,称为运动差分SPC(M-D-SPC)。它通过重新使用以前的SPC编码帧的重要性图来消除帧间冗余。每个帧都与其他帧分开进行编码和解码。此外,没有像帧间预测方法那样在编码器中重建编码帧。 MD-SPC展示了一种辅助关键帧编码框架,与全帧内编码方案相比,具有更高的编码效率,同时保持了SPC全帧内编码的有益特性,例如计算简单,速率可扩展,无错误。传播和随机帧访问。基于SPIHT的高光谱图像,3D / 4D医学图像和视频的仿真显示出比运动JPEG2000的标准帧内编码方法更高的压缩效率。

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