基于H.264率失真模型的无线信源信道联合编码方案

doi:1000-436X(2008)09-0024-08

摘要/Abstract

摘要：

针对H.264编码器的率失真特性，建立了一种新的H.264编码率失真(R-D, rate-distortion)模型；然后基于该R-D模型和Turbo码的抗差错特性，对无线环境下的端到端视频传输失真进行了深入的分析，提出了一种无线信道下的自适应视频信源信道联合编码(JSCC, joint source channel coding )方案，该方案可以自适应地根据当前无线信道的具体状况，将网络可用带宽在信道编码和信源编码之间进行最优的分配，使得端到端的传输失真达到最小。实验结果表明，与固定选择信道编码速率方案相比，该方案可以显著提高传输的可靠性，在接收端可以获得更好的视频重建质量。

关键词: 信源信道联合编码, 率失真模型, 码率分配, 端到端失真, H.264标准, Turbo码

Abstract:

A new rate-distortion model of H.264 encoder was firstly set up according to the rate distortion (R-D) charac-teristics of H.264. Then, the end-to-end video transmission distortion was analyzed and based on the R-D model of the H.264 encoder and the error combat characteristics of the Turbo code, an adaptive joint source channel coding (JSCC) over wireless channel was proposed, which could optimize the rate allocation of the available network bandwidth be-tween source coding and channel coding adaptively according to the actual condition of current wireless channel, so as to improve the robustness of the video transmission. The experiment results indicate that, compared with fix choice of channel coding rate, the proposed JSCC scheme is can greatly improve the transmission robustness and achieve better reconstructed video quality at the receiver.

Key words: joint source channel coding, rate-distortion model, rate allocation, end-to-end distortion, H.264 standard, Turbo code

高雪娟,卓力,沈兰荪. 基于H.264率失真模型的无线信源信道联合编码方案[J]. 通信学报, 2008, 29(9): 24-31.

Xue-juan GAO,Li ZHUO,Lan-sun SHEN. H.264 rate-distortion model based joint source channel coding scheme over wireless channels[J]. Journal on Communications, 2008, 29(9): 24-31.

图/表 11

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表1

采用2种方案对不同序列在不同信道状况条件下的对比测试结果"

总码率/（kbit·s^-1）	序列	采用方法		重建质量PSNR/dB
总码率/（kbit·s^-1）	序列	采用方法	$P_{e} = 10^{- 2}$	$P_{e} = 10^{- 3}$	$P_{e} = 10^{- 4}$	$P_{e} = 10^{- 5}$
240	Foreman_CIF	本文方案固定方案	22.6922.67	29.1128.57	33.1131.87	33.9032.46
	Akiyo_CIF	本文方案固定方案	37.3136.96	41.8040.60	42.9241.38	42.9641.41
	Mobile_CIF	本文方案固定方案	16.1016.04	20.9920.15	23.9022.13	24.2922.35
	Foreman_QCIF	本文方案固定方案	22.4822.29	29.5529.55	36.2835.58	38.8137.44
	Mother_daughter_QCIF	本文方案固定方案	34.6134.24	40.1540.15	44.3343.49	45.3544.03
300	Foreman_CIF	本文方案固定方案	22.9322.61	29.4728.96	33.8132.69	34.7133.45
	Akiyo_CIF	本文方案固定方案	37.1237.12	42.2441.32	43.7242.35	43.8642.39
	Mobile_CIF	本文方案固定方案	16.1216.09	21.3920.95	24.8423.70	25.3324.06
	Foreman_QCIF	本文方案固定方案	22.6021.90	29.3929.12	36.3935.80	39.7438.32
	Mother_daughter_QCIF	本文方案固定方案	40.5140.51	44.4044.40	45.1245.12	46.3845.17
360	Foreman_CIF	本文方案固定方案	22.7822.52	29.3929.14	33.9333.32	35.0134.29
	Akiyo_CIF	本文方案固定方案	37.0937.09	42.4541.89	44.4743.15	44.6543.27
	Mobile_CIF	本文方案固定方案	16.1016.10	21.2221.21	25.0824.41	25.7124.85
	Foreman_QCIF	本文方案固定方案	22.2921.92	29.5529.16	36.6236.48	40.6139.32
	Mother_daughter_QCIF	本文方案固定方案	34.2433.72	40.2040.20	45.3344.78	47.1445.92
450	Foreman_CIF	本文方案固定方案	22.6522.65	29.4529.45	34.6734.12	36.0135.23
	Akiyo_CIF	本文方案固定方案	37.1236.93	42.7942.53	45.4044.32	45.7944.49
	Mobile_CIF	本文方案固定方案	16.0916.08	21.6021.39	26.2825.16	27.1625.74
	Foreman_QCIF	本文方案固定方案	21.9021.83	29.1228.74	36.7436.74	41.6140.36
	Mother_daughter_QCIF	本文方案固定方案	40.5133.35	44.4039.78	45.2445.24	48.0046.92

表1

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图9

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参考文献 9

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