基于邻近像素的低复杂度预测矢量量化图像压缩编码算法  

Neighboring Pixels Based Low Complexity Predictive Vector Quantization Algorithms for Image Coding

作　　者：杨边[1] 陆哲明[1] 徐殿国[2] 孙圣和[1] 

机构地区：[1]哈尔滨工业大学自动化测试与控制系,黑龙江哈尔滨150001 [2]哈尔滨工业大学电气工程系,黑龙江哈尔滨150001

出　　处：《电子学报》2003年第5期707-710,共4页Acta Electronica Sinica

基　　金：航天技术创新基金

摘　　要：针对传统低复杂度预测矢量量化图像编码算法预测准确性的不足 ,通过分析像素距离对相关性的影响 ,提出了数种改进的基于邻近像素的预测方案 ,并提出了一种具有边缘走向自适应性的预测方案 .仿真实验表明 ,采用这些预测方案的预测矢量量化算法能够在保持低计算复杂度的同时 ,显著提高矢量预测准确度 ,改善图像编码性能 .Several neighboring pixels based prediction schemes were proposed by exploiting the statistical relationship between pixel distance and correlation. And an edge-adaptive predictive VQ scheme was proposed for images containing distinct edge characteristics. Simulations demonstrate the improved predicting accuracy and coding performance of the proposed predictive VQ algorithms for image coding applications constrained at a low computational complexity level.

关 键 词：预测矢量量化 基于邻近像素的预测方案 图像编码 

分 类 号：TN919.31[电子电信—通信与信息系统]