一种非线性图象矢量量化的重建方法——梯度中值算子法  

A Non Linear Reconstruction Algorithm for Vector Quantization in Image Coding

作　　者：王学军[1] 陈贺新[2] 

机构地区：[1]长春邮电学院计算机系 [2]吉林工业大学电子工程系

出　　处：《数据采集与处理》1996年第3期230-232,共3页Journal of Data Acquisition and Processing

摘　　要：针对图象矢量量化编码复杂度高，并存在方块效应等缺点，本文基于亚－Ｎｙｑｕｉｓｔ采样方式构成训练码矢，并提出了一种新的重建图象方法——梯度中值算子法，它不仅降低了运算的复杂度，而且在插值的同时改善了图象的质量。实验结果表明，在压缩比为０．For reducing the high complexity of vector quantization and the block effects in image coding, a non linear reconstruction algorithm is proposed in this paper. Based on Half Nyquist sampling pattern, it is not only reducting the operating comlexity, but also improving the quality of the reconstructed image. Results show that the performance quality ( R SN ) of the reconstructed image is more than 33 dB and the subjective quality is much better than others under the compression ratio 0.312 5 bit/pixel.

关 键 词：矢量量化 图象编码 图象处理 非线性 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]