A Novel Video Coding Method for Luminance Variation Scenes

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A Novel Video Coding Method for Luminance Variation Scenes

更新时间：2025-07-09

- A Novel Video Coding Method for Luminance Variation Scenes
- Vol. 44, Issue 10, Pages: 62-66(2010)
- 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：
- DOI：
  CLC： TN911.7
- Online First：10 October 2010，
  
  Published：2010
- 稿件说明：
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A Novel Video Coding Method for Luminance Variation Scenes[J]. 2010, 44(10): 62-66.
DOI：

A Novel Video Coding Method for Luminance Variation Scenes[J]. 2010, 44(10): 62-66. DOI：

摘要

为提高存在光照变化场景的视频的编码效率

提出一种基于局部亮度补偿的视频编码方法.该方法先计算当前块和匹配块的空间邻近Γ型区域的平均亮度差异

然后用该亮度差异对匹配块进行亮度补偿

进而提高预测精度

最后计算差值信号并对差值信号进行编码.此外

为消除局部亮度变化对运动估计的影响

采用纹理匹配准则进行运动估计

提高运动估计所得的匹配块与当前块的纹理相似度.与H.264标准采用的加权预测方法相比

该方法可以对图像中不同的区域采用不同的参数进行亮度补偿

因此可以进一步提高编码效率.实验结果表明

在恢复视频质量相同的条件下

该方法的编码比特率较H.264标准采用的加权预测方法的编码比特率平均下降了2.34%.

Abstract

A local luminance compensation method is proposed to improve the coding efficiency of videos which contain scenes with luminance variation. The average luminance difference between the Г shape neighboring area of the current block and that of the matching block is calculated. Then the difference is used to compensate the matching block so as to improve the prediction accuracy. Finally

residual signals are calculated and encoded. Moreover

the texture matching criterion is used to search the best matching block to eliminate the influence of local luminance variation on motion estimation. Compared with the weighted prediction utilized in H.264 standard

the proposed method uses different parameters to compensate different areas

therefore the coding efficiency can be further improved. Experimental results and comparisons with the weighted prediction utilized in H.264 standard show that the proposed method achieves 2.34% average bit rate saving under the condition of the same quality of reconstructed videos.

关键词

Keywords

references

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多扫描双向参考的快速帧内预测算法. 西安交通大学学报,2010,44(4):98-102.

一种方向提升小波变换和网格编码量化的图像编码算法. 西安交通大学学报,2010,44(2):67-71.

任意视点电视系统中深度数据的自适应非均匀量化方法. 西安交通大学学报,2010,44(2):82-87.

视频通信中的选择性重传技术. 西安交通大学学报,2009,43(6):82-87.

适合于小波视频编码的尺寸自适应图像组结构. 西安交通大学学报,2009,43(4):52-55.

采用帧延迟的实时编码协作方案. 西安交通大学学报,2009,43(2):63-66.

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