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离散余弦变换和全息技术相融合的图像压缩感知重构

Image compressive sensing reconstruction based on holography technology and discrete cosine transform

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【作者】 黄磊; 伍雁鹏; 邓轶华;

【Author】 HUANG Lei;WU Yan-peng;DENG Yi-hua;Department of Information Engineering,Shaoyang University;College of Computer Science and Electronic Engineering,Hunan University;Provincial Key Laboratory of Informational Service for Rural Area of Southwestern Hunan,Shaoyang University;

【机构】 邵阳学院信息工程系; 湖南大学信息科学与工程学院; 邵阳学院湘西南农村信息化服务湖南省重点实验室;

【摘要】 为了获得理想的图像重构效果,提出一种基于离散余弦变换和全息技术相融合的图像重构算法。首先采用离散余弦变换对图像进行分解保留少数的低频分量,从而构建压缩感知的稀疏基加快重构速度,然后采用全息技术对图像重构结果进行处理,提高图像重构效果,最后采用仿真实验测试算法的性能。实验结果表明,相对于当前经典图像重构算法,本文算法不仅提高了图像重构质量,而且加快了图像重构速度,具有较好的实际应用价值。

【Abstract】 In order to obtain reconstruction results of image,a novel algorithm of image reconstruction is proposed based on holography technology and discrete cosine transform.Firstly,image is decomposed by using discrete cosine transform to retain the low frequency component and construct sparse matrix of compressed sensing,accelerate the speed of reconstruction,and then holographic technology is used to treat the results of image to improve the image reconstruction results,finally the performance is tested by simulation experiment.The experimental results show that,compared with current classic image reconstruction algorithms,the proposed algorithm not only improves the reconstructed quality of image,but also accelerates the speed of image reconstruction,has the good practical application value.

【基金】 湖南省自然科学基金项目(14JJ7077);湖南省教育厅课题(09C887);湖南省教育厅青年课题(13B107)
  • 【分类号】TP391.41
  • 【被引频次】4
  • 【下载频次】143
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