图像的高质量、低帧率传输有较广泛的应用。由于传输信道的不可靠、易丢包或误码等固有特性使传输图像降质甚至无法正常译码。本文对原图像亚采样后进行低分辨率多描述编码以增强传输鲁棒性, 接收端再采用多幅解码图像超分辨率重构, 可在相同信道条件下得到 2～3 dB的 PSNR增益。并且可以结合目前几乎所有的图像多描述编码技术和超分辨率重构算法, 有很强的应用和推广价值。

High-quality and low frame-rate transmission of images has extensive applications. The inherence of uncertainty, packet-losing and bit error occurring of transmission channel often causes image degradation or un-decoding. In view of the case, we introduce a method that uses Multiple Description Coding (MDC) on Low-resolution (LR) sampled images to strengthen transmission robustness and then reconstruct the super-resolution with these multiple low-resolution images transmitted. Experiment indicates a gain of 2～3 dB in PSNR under the same conditions of channel transmission. Especially, this scheme is universal and worthy to be extended to other MDC technologies and SRR algorithms.