Multiple description coding (MDC) provides a favorable solution for human-centered image communication, which takes into account people’s varying watching situations as well as people’s demand for real-time image display. As an effective technique for MDC, three-description lattice vector quantization (3D-LVQ) is considered for image coding in this paper. Based on intra- and inter-correlation in the 3D-LVQ index assignment as well as wavelet intra-subband correlation, a novel predictive decoding method for 3D-LVQ-based image coding is proposed to enhance side decoding performance, which attempts to predict lost descriptions (sublattice points) in a good way for better reconstructions of wavelet vectors (fine lattice points) in the side decoding. Experimental results validate effectiveness of the proposed decoding scheme in terms of rate-distortion performance.

多描述编码（MDC）为以人为中心的图像通信提供了一种不错的解决方案，该方法考虑了人们观看情况的变化以及人们对实时图像显示的需求。作为一种有效的MDC技术，本文考虑将三描述格向量量化（3D-LVQ）用于图像编码。基于3D-LVQ索引分配中的内相关和互相关以及小波子带内相关，提出了一种新的基于3D-LVQ的图像编码预测解码方法，以提高侧解码性能，从而尝试预测丢失描述（子晶格点）以更好的方式在侧面解码中更好地重构小波矢量（细格点）。