任意视点电视系统中深度数据的自适应非均匀量化方法

刘晓仙; 常义林; 杨海涛; 元辉

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任意视点电视系统中深度数据的自适应非均匀量化方法

更新时间：2025-07-09

- 任意视点电视系统中深度数据的自适应非均匀量化方法
- Adaptive Non-Uniform Quantization of Depth Data in Free-Viewpoint Television System
- 西安交通大学学报 2010年44卷第2期页码：82-87
- 作者机构：
  
  西安电子科技大学综合业务网理论及关键技术国家重点实验室,西安,710071
- 作者简介：
- 基金信息：
  
  : 2009-05-14. 作者简介: 刘晓仙(1984-),女,博士生;常义林(联系人),男,教授,博士生导师. 基金项目:国家自然科学基金资助项目(60772134);高等学校学科创新引智计划资助项目(B08038)
- DOI：
  中图分类号： TN919.8
- 网络首发：2010-02-10，
  
  纸质出版：2010
- 稿件说明：
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刘晓仙, 常义林, 杨海涛, 等. 任意视点电视系统中深度数据的自适应非均匀量化方法[J]. 西安交通大学学报, 2010,44(2):82-87.

Adaptive Non-Uniform Quantization of Depth Data in Free-Viewpoint Television System[J]. 2010, 44(2): 82-87.
刘晓仙, 常义林, 杨海涛, 等. 任意视点电视系统中深度数据的自适应非均匀量化方法[J]. 西安交通大学学报, 2010,44(2):82-87. DOI：

Adaptive Non-Uniform Quantization of Depth Data in Free-Viewpoint Television System[J]. 2010, 44(2): 82-87. DOI：

摘要

为了降低现有任意视点电视系统中深度数据量化所带来的量化失真

提出一种自适应非均匀深度量化方法.首先根据深度数据的统计特性

选取有效深度子空间; 然后对有效深度子空间重新进行精细划分

得到对应的自适应量化表; 最后使用该自适应量化表对原深度数据进行自适应量化.实验结果表明

与现有的均匀量化和普通非均匀量化方法相比

使用所提出的方法可使深度数据的量化信噪比平均提高20 dB.因此

自适应非均匀量化方法能够显著降低深度数据量化误差

有助于在任意视点电视系统的接收端获得高精度深度数据

从而得到主观效果更好的虚拟视图.

Abstract

An adaptive non-uniform quantization method is proposed to reduce the distortion due to the depth data quantization in free-viewpoint television(FTV)system using the ordinary non-uniform quantization method. The proposed method determines the valid depth sub-spaces according to the statistical distribution characteristics of the depth data. Then

these depth sub-spaces are finely divided to form an adaptive quantization look-table. Finally

the original depth data are adaptively quantized using the quantization look-table. Experimental results and comparisons with the ordinary non-uniform depth data quantization method show that the proposed method improves the quantization signal-to-noise ratio of the depth data by an average of 20 dB. Thus the adaptive non-uniform quantization method can significantly reduce the quantization distortion of the depth data

and benefits the high-accurate reconstruction of the depth data and the better subject visual effect of the synthesized image at the receiver of the FTV system.

关键词

Keywords

references

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