Still image quantization using two-dimension trellis coded vector quantization
二维网格编码矢量量化及其在静止图像量化中的应用

A method called Two Dimension Trellis Coded Vector Quantization(2D-TCVQ) which applies the method of TCQ after VQ is implemented is proposed. This method first expands the small codebook to larger virtual codebook, then uses Viterbi algorithm in two dimension to search the minimal distortion quantized route. The expansion of codebook min-ishes the minimal distortion in every subset and improves the quantization performance. By using small size codebook 2D-TCVQ can be applied in many low-power encode/decode condition. Simulation states the method has advantage of 0.5dB nearly over TCVQ.The method also has capability that it has only modest encoding complexity with simple decoding and it is insensitive to channel errors.