Dept. of Electr. and Comput. Eng., Arizona Univ., Tucson, AZ.
IEEE Trans Image Process. 1995;4(8):1061-9. doi: 10.1109/83.403413.
A predictive image coder having minimal decoder complexity is presented. The image coder utilizes recursive interpolative DPCM in conjunction with adaptive classification, entropy-constrained trellis coded quantization, and optimal rate allocation to obtain signal-to-noise ratios (SNRs) in the range of those provided by the most advanced transform coders.
提出了一种具有最小解码器复杂度的预测图像编码器。该图像编码器利用递归内插差分脉冲编码调制(DPCM)结合自适应分类、熵约束网格编码量化以及最优速率分配,在最先进的变换编码器提供的 SNR 范围内获得 SNR。