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1、ME and MC Based on WTYan Jingwen共四十五頁ME and MC Based on WTVideo image motion estimation and motion compensation in DCT domain.Video image motion estimation and motion compensation in WT domain.ME and MC performance comparison in DCT and WT domain.共四十五頁ME of Multi-resolution level共四十五頁Motion Vector i

2、n different levelMotion Vector Estimation Proceeded for Coarse to Fine ScaleIn 共四十五頁Motion Vector in different levelMultiResolution Motion Estimation (MRME) and Full Search Algorithm (FSA) are widely applied in video image compression.FSA have a high precision and a lot of time needed to obtain ME.

3、共四十五頁Motion Vector in different levelBecause of the downsampling effect, the motion vector estimation in coarse scale gives rise to some error in comparison to the motion vector estimation in time domain, it make the predictive precision decrease.共四十五頁MPEG-1 Motion predicton共四十五頁MPEG-2 Motion predic

4、ton共四十五頁Interband self-similiarity 共四十五頁Interband self-similiarity共四十五頁Motion prediction Using Interband self-similiarity共四十五頁2D Motion Prediction(2DMP) Conclusion2DMP can exploit the relations in different frames.Because of the limitation of searching area, 2DMP produces bigger errors when the scen

5、es change speedily.2DMP spend a volume of time, and a high compression ratio can be got.共四十五頁3D SPIHT Compression3D SPIHT can be derived from 2DSPIHT.3D SPIHT can exploit 3D redundancy in a 3D video serial, so it does not need motion prediction.3D SPIHT can take advantage of full data information in

6、 3D data.共四十五頁3D SPIHT Compression3D video data construction共四十五頁3D SPIHT CompressionAlternatively apply wavelet transform along X,T, and T dimensions共四十五頁3D SPIHT Compression共四十五頁3D SPIHT Compression共四十五頁3D SPIHT Compression共四十五頁2D SPECK CompressionSet Partition Embedded bloCK (SPECK) Coding Introd

7、uctionLow ComplexityEmbeddednessImplementation easily共四十五頁2D SPECK Compression共四十五頁2D SPECK Compression共四十五頁2D SPECK Compression共四十五頁2D SPECK Compression共四十五頁2D SPECK Compression共四十五頁2D SPECK Compression共四十五頁2D SPECK Compression共四十五頁2D SPECK Compression共四十五頁2D SPECK Compression共四十五頁2D SPECK Compress

8、ion共四十五頁2D SPECK Compression共四十五頁2D SPECK Compression共四十五頁2D SPECK Compression共四十五頁2D SPECK Compression共四十五頁2D SPECK Compression共四十五頁2D SPECK Compression共四十五頁2D SPECK Compression共四十五頁2D SPECK Compression共四十五頁EZW, SPIHT and SPECK Performance Comparison共四十五頁EZW, SPIHT and SPECK Performance Comparison共

9、四十五頁EZW, SPIHT and SPECK Performance Comparison共四十五頁EZW, SPIHT and SPECK Performance Comparison共四十五頁Conclusion共四十五頁Conclusion共四十五頁ConclusionFrom EZW,SPIHT and SPECK performance comparison, EZW has the lowest compression performance, and SPIHT has the highest compression performance. Especially compressing the data of lower redundancy, such as remote sensing image data, the difference of compression performance is shown obviously.共四十五頁內(nèi)容摘要ME and MC Ba

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