电子与信息学报
電子與信息學報
전자여신식학보
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY
2013年
11期
2554-2559
,共6页
刘国%于文慧%吴家骥%白宝明
劉國%于文慧%吳傢驥%白寶明
류국%우문혜%오가기%백보명
图像传输%喷泉码%系统Raptor%不等差错保护(UEP)%码率优化%二进制删除信道(BEC)
圖像傳輸%噴泉碼%繫統Raptor%不等差錯保護(UEP)%碼率優化%二進製刪除信道(BEC)
도상전수%분천마%계통Raptor%불등차착보호(UEP)%마솔우화%이진제산제신도(BEC)
Image transmission%Fountain codes%Systematic Raptor%Unequal Error Protection (UEP)%Bitrate optimization%Binary Erasure Channel (BEC)
该文提出一种在无线信道上进行图像传输的方案。喷泉码具有码率无关性,无需反馈信道,降低了系统复杂度。然而,传统喷泉码存在译码效率低、信息恢复质量对噪声敏感的问题。该方案基于系统Raptor码,在信道条件理想的情况下无需译码,提高了译码效率;引入不等差错保护(UEP)特性,根据信息重要性进行码率优化,使系统在不同信道环境中具有更好的稳定性。实验结果表明,在二进制删除信道信道(BEC)下,与传统纠错码和 LT码及采用等差错保护(EEP)的Raptor码相比,该方案可显著提高传输的可靠性,获得更好的图像恢复效果。
該文提齣一種在無線信道上進行圖像傳輸的方案。噴泉碼具有碼率無關性,無需反饋信道,降低瞭繫統複雜度。然而,傳統噴泉碼存在譯碼效率低、信息恢複質量對譟聲敏感的問題。該方案基于繫統Raptor碼,在信道條件理想的情況下無需譯碼,提高瞭譯碼效率;引入不等差錯保護(UEP)特性,根據信息重要性進行碼率優化,使繫統在不同信道環境中具有更好的穩定性。實驗結果錶明,在二進製刪除信道信道(BEC)下,與傳統糾錯碼和 LT碼及採用等差錯保護(EEP)的Raptor碼相比,該方案可顯著提高傳輸的可靠性,穫得更好的圖像恢複效果。
해문제출일충재무선신도상진행도상전수적방안。분천마구유마솔무관성,무수반궤신도,강저료계통복잡도。연이,전통분천마존재역마효솔저、신식회복질량대조성민감적문제。해방안기우계통Raptor마,재신도조건이상적정황하무수역마,제고료역마효솔;인입불등차착보호(UEP)특성,근거신식중요성진행마솔우화,사계통재불동신도배경중구유경호적은정성。실험결과표명,재이진제산제신도신도(BEC)하,여전통규착마화 LT마급채용등차착보호(EEP)적Raptor마상비,해방안가현저제고전수적가고성,획득경호적도상회복효과。
A scheme for image transmission over wireless channel is proposed. Being rateless, fountain codes could reduce system complexity and no feedback channel is needed. Traditional fountain code has a low decoding efficiency, and the quality of the recovered information is sensitive to noise. Based on systematic Raptor, this method can improve the decoding efficiency because decoding is not even needed in the ideal channel. With the introduction of Unequal Error Protection (UEP) characteristics, this scheme makes the bitrate optimized according to the importance of information, so that a better stability can be achieved at different channel conditions. The experiment results show that, compared with traditional error-correcting codes and Raptor with Equal Error Protection (EEP), this scheme can greatly improve the transmission reliability and achieve better reconstructed image quality over Binary Erasure Channel (BEC).