Virtual Scene Genaration Technology Based on Algorithm of Image Resolution Enhancement

ZHAO Yan-wei

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Virtual Scene Genaration Technology Based on Algorithm of Image Resolution Enhancement

Imaging Technology & Image Processing | 更新时间：2020-08-12

- Virtual Scene Genaration Technology Based on Algorithm of Image Resolution Enhancement
- Chinese Journal of Liquid Crystals and Displays Vol. 26, Issue 6, Pages: 823-830(2011)
- 作者机构：
  
  吉林工商学院信息工程分院,吉林长春,130062
- 作者简介：
- 基金信息：
  
  Supported by Jilin Province Education Department "
- DOI：
  CLC： TP911
- Received：28 July 2011，
  
  Revised：27 September 2011，
  
  Published Online：20 December 2011，
  
  Published：20 December 2011
- 稿件说明：
移动端阅览
赵艳伟. 基于图像分辨率增强算法的场景生成技术[J]. 液晶与显示, 2011,26(6): 823-830

ZHAO Yan-wei. Virtual Scene Genaration Technology Based on Algorithm of Image Resolution Enhancement[J]. , 2011,26(6): 823-830
赵艳伟. 基于图像分辨率增强算法的场景生成技术[J]. 液晶与显示, 2011,26(6): 823-830 DOI：

ZHAO Yan-wei. Virtual Scene Genaration Technology Based on Algorithm of Image Resolution Enhancement[J]. , 2011,26(6): 823-830 DOI：

摘要

针对高分辨率真实感的虚拟环境及场景浏览时变焦观察的需要

研究了基于图像的高分辨率场景生成技术。图像分辨率增强技术是指利用已采样的信息来重新构建分辨率更高的场景图像

包含单帧图像的分辨率增强和多帧图像序列的分辨率增强两种技术。对于单帧图像的分辨率增强技术

提出了一种基于熵变分的图像分辨率增强算法。该算法在贝叶斯估计和最大熵原理的基础上

将图像像素点梯度信息应用到图像分辨率增强中

从而建立起一种基于图像梯度信息的各向异性自适应分辨率增强算法。对于多帧图像序列的超分辨率复原技术

在单帧熵变分模型的基础上

将双边滤波技术引入到图像超分辨率复原中

建立了一种基于广义熵变分的图像超分辨率复原模型

提出了一种基于几何距离和梯度信息的双重加权各向异性分辨率增强算法。实验结果表明:使用本文算法得到的高分辨率复原图像具有较高的峰值信噪比和视觉质量

与传统图像分辨率增强算法相比具有一定的优势。

Abstract

The scene generation technology based on algorithm of image resolution enhancement

aiming at the needs of high image resolution and zooming browse in virtual environment was studied. The algorithm of image resolution enhancement contains two situations. First

for one frame

a novel image zooming algorithm based on maximum a posteriori probability and maximum entropy principle was presented

which anisotropy interpolate pixels using gradient information self-adaptively. Second

in the case of multi-frames

super-resolution reconstruction algorithm based on generalized MAP theory and maximum entropy principle was presented. By introducing bifilter into traditional MAP algorithm

we anisotropy interpolate pixels using gradient information and geometry distance self-adaptively. Experimental results show that our algorithm holds higher signal/noise ratio and better vision quality.

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references

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