低信噪比下图像传输的纠错编码方法
Error correction codes for image transmission in low SNR (singal-to-noise ratio) scenarios
针对数字图像无线通信系统中低信噪比(如2dB)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 system. 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 2.2dB which is typically “threshold effect”. The PSNR of our method decreases with the SNR linearly and gets 5dB gain than Mirrored Baker’s code. Our method present better coding complexity, utilization rate of the bandwidth and error correcting capability.
田雨、孙玉雪、胡星、马林华、茹乐
无线通信通信
图像传输低信噪比高阶量纠错编码镜像Baker码LDPC码
image transmissionlow SNR scenarioshigh order quantity error correction codesmirrored Baker’s codesLDPC codes
田雨,孙玉雪,胡星,马林华,茹乐.低信噪比下图像传输的纠错编码方法[EB/OL].(2014-08-21)[2025-08-10].http://www.paper.edu.cn/releasepaper/content/201408-195.点此复制
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