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稀疏表达的夜间图像采集分辨率无关处理技术

卢清秀 任成森 叶文权

计算机技术与发展2017,Vol.27Issue(10):11-15,5.
计算机技术与发展2017,Vol.27Issue(10):11-15,5.DOI:10.3969/j.issn.1673-629X.2017.10.003

稀疏表达的夜间图像采集分辨率无关处理技术

An Independent Processing Technology of Night Image Acquisition Resolution Based on Sparse Representation

卢清秀 1任成森 1叶文权1

作者信息

  • 1. 广东工业大学华立学院,广东 广州 511325
  • 折叠

摘要

Abstract

In the image acquisition and 3D reconstruction,independent image resolution processing is needed to reduce the influence of il-lumination and environmental factors to the resolution. Therefore,an independent processing technology of night image acquisition resolu-tion is proposed based on the sparse expression. First the acquisition of night image is in wavelet denoising,conducting the curve segmen-tation of the shadow region and brightness region for night image. In the conditions of multiple color at night,the expression method of regularization of standardized sparse prior is used for the image equalization lock light processing,and image pixel traversal method for continuous uniform traversal of image blocks,realizing the shadow deviation compensation for acquisition image at night and independent resolution processing of that,solving the problem of image reconstruction caused by the resolution. The simulation results show that it can improve the imaging quality and resolution and the its peak signal-to-noise ratio and computing cost parameters are better than the tradi-tional method.

关键词

稀疏表达/夜间图像/图像采集/分辨率/三维重建

Key words

sparse representation/night image/image acquisition/resolution/3D reconstruction

分类

信息技术与安全科学

引用本文复制引用

卢清秀,任成森,叶文权..稀疏表达的夜间图像采集分辨率无关处理技术[J].计算机技术与发展,2017,27(10):11-15,5.

基金项目

2016年广东省大学生科技创新培育项目(pdjh2016b0934) (pdjh2016b0934)

2012广东省质量工程项目"独立学院电子信息创新人才培养实验区"(粤教高函[2012]204号) (粤教高函[2012]204号)

计算机技术与发展

OACSTPCD

1673-629X

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