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

YANG Bian; LU Zhe-ming; XU Dian-guo; SUN Sheng-he

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

更新时间：2025-07-16

- Neighboring Pixels Based Low Complexity Predictive Vector Quantization Algorithms for Image Coding
- Acta Electronica Sinica Vol. 31, Issue 5, Pages: 707-710(2003)
- 作者机构：
  
  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
  3. 哈尔滨工业大学自动化测试与控制系黑龙江哈尔滨,150001
  4. 哈尔滨工业大学电气工程系黑龙江哈尔滨,150001
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919.31
- Published：2003
- 稿件说明：
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YANG Bian, LU Zhe-ming, XU Dian-guo, et al. Neighboring Pixels Based Low Complexity Predictive Vector Quantization Algorithms for Image Coding[J]. Acta Electronica Sinica, 2003, 31(5): 707-710.
DOI：

YANG Bian, LU Zhe-ming, XU Dian-guo, et al. Neighboring Pixels Based Low Complexity Predictive Vector Quantization Algorithms for Image Coding[J]. Acta Electronica Sinica, 2003, 31(5): 707-710. DOI：

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.

Abstract

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.

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