摘要
针对数字图像无线通信系统中低信噪比下图像质量的"门限效应",提出了一种基于tent map混沌系统的高阶量纠错编码方法。仿真实验中与LDPC(low-density parity-check)码、镜像Baker码对比发现,压缩图像经LDPC码处理后出现"门限效应",且信噪比低于2.2dB时,图像的峰值信噪比(peak signal to noise ratio,PSNR)急剧下降,而高阶量纠错码图像的PSNR随信噪比(signal to noise ratio,SNR)呈线性变化;与镜像Baker码相比,高阶量纠错码图像的PSNR有5dB的增益,并提高了编译码效率和带宽利用率,具有较强的纠错能力和较低的编译码复杂度。
In the traditional image wireless communication system,the “threshold effect”of the image quality exits in low SNR scenarios owing to the error diffusion.A high order quantity error correction codes is proposed,exploiting the tent chaotic sys-tem.The LDPC codes and the mirrored Baker’s codes are selected to compare with proposed method in the simulation.In LDPC-processed image,the PSNR decreases sharply when the SNR is under 2 .2 dB which is typically“threshold effect”.The PSNR of our method decreases with the SNR linearly and gets 5 dB gain than mirrored Baker’s code.Our method present better coding complexity,utilization rate of the bandwidth and error correcting capability.
出处
《中国科技论文》
CAS
北大核心
2014年第7期821-825,共5页
China Sciencepaper
基金
国防预研基金资助项目(9140A25031112JB32001)
综合业务网理论及关键技术国家重点实验室(西安电子科技大学)开放研究课题(ISN15-13)
关键词
图像传输
低信噪比
高阶量纠错编码
镜像Baker码
LDPC码
image transmission
low SNR scenarios
high order quantity error correction codes
mirrored Baker ’s codes
LDPC codes
