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视频信号压缩编码──第三讲 预测编码 被引量:1

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摘要 视频信号压缩编码──第三讲 预测编码张春田天津大学l概述在经典的图像编码技术中,预测编码和变换编码是主要的两类编码方法。预测编码的硬件实现比较简单,而对于图像质量要求高的场合,采用预测编码,例如,差分脉冲编码调制(DPCM)可以达到与变换编码同样程度...
作者 张春田
机构地区 天津大学
出处 《广播与电视技术》 北大核心 1995年第1期54-59,共6页 Radio & TV Broadcast Engineering
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  • 1Donoho D L. Compressed sensing[ J ]. Information Theo- ry, IEEE Transactions on, 2006, 52(4) : 1289-1306.
  • 2Candes E J. Compressive sampling [ C ] // Proceedings of the International Congress of Mathematicians. 2006, 3: 1433-1452.
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  • 4Dai W, Pham H V, Milenkovic O. Distortion-rate functions for quantized compressive sensing [ C ]// IEEE Information Theory Workshop on Networking and Information Theory. 2009 : 61.
  • 5Jacques L, Hammond D, Fadili J. Stabilizing nonuni- formly quantized compressed sensing with scalar com- panders [ J ]. Information Theory, IEEE Transactions on, 2013,59(12) :7969-7984.
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  • 7Wang L, Wu X, Shi G. Progressive quantization of com- pressive sensing measurements [ C ] //Data Compression Conference (DCC), 2011. IEEE, 2011. 233-242.
  • 8Kamilov U S, Goyal V K, Rangan S. Message-passing de-quantization with applications to compressed sensing [ J ]. Signal Processing, IEEE Transactions on, 2012, 60 (12) : 6270-6281.
  • 9Jacques L, Hammond D K, Fadili J. Weighted fidelity in non-uniformly quantized compressed sensing [ C ]//Image Processing (ICIP), 2011 18th IEEE International Confer- ence on. IEEE, 2011: 1921-1924.
  • 10Mun S, Fowler J E. DPCM for quantized block-based compressed sensing of images [ C ] //Proceedings of the 20th European Signal Processing Conference(EUSIPCO). 2012 : 1424-1428.

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