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Fusion of complementary catadioptric panoramic images based on nonsubsampled contourlet transform

机译:基于非下采样轮廓波变换的互补折反射全景图像融合

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摘要

The problem of low and nonuniform resolution has long been a topic of research in omnidirectional imaging. A novel fusion method based on nonsubsampled contourlet transform is proposed in this paper to fuse the pair of complementary panoramic images unwrapped from the inner and outer of the omni-image. This work can be considered as a continuation research of the complementary-structure catadioptric imag-ing technique based on multiple mirrors. Specifically, the high-frequency details are extracted by nonsubsampled directional filters only in the hor-izontal and vertical directions, since the complementarity mostly exists in two orthogonal directions. The horizontal and vertical high-frequency coefficients of the fused image are selected from the panoramic image which has the advantage in the corresponding direction. The fusion rule for the low-frequency coefficients is an improved "selecting" scheme with considering the high-frequency directional vector. Simulation experiments based on decimation and interpolation are implemented using the pro-posed fusion method, which outperforms other existing fusion methods in terms of both visual quality and objective evaluation. The proposed fusion method has demonstrated on experiments that both indoor and outdoor of real-scene imaging can gain better performance by using our prototype omnidirectional sensor.
机译:分辨率低和不均匀的问题一直是全向成像研究的主题。提出了一种基于非下采样contourlet变换的融合方法,融合了从全图像内部和外部解开的一对互补全景图像。这项工作可以看作是对基于多反射镜的互补结构折反射成像技术的继续研究。具体地,由于互补性主要存在于两个正交方向上,所以高频细节仅通过水平和垂直方向上的非下采样方向滤波器来提取。从全景图像中选择融合图像的水平和垂直高频系数,其在相应方向上具有优势。低频系数的融合规则是一种考虑了高频方向矢量的改进的“选择”方案。使用提出的融合方法进行了基于抽取和内插的仿真实验,该方法在视觉质量和客观评估方面都优于其他现有的融合方法。所提出的融合方法已经在实验中证明,通过使用我们的原型全向传感器,室内和室外的真实场景成像都可以获得更好的性能。

著录项

  • 来源
    《Optical engineering》 |2011年第12期|p.127002.1-127002.9|共9页
  • 作者单位

    National University of Defense Technology College of Information System and Management 109 Deya Road Changsha, Hu'nan, 410073, China;

    National University of Defense Technology College of Information System and Management 109 Deya Road Changsha, Hu'nan, 410073, China;

    National University of Defense Technology College of Information System and Management 109 Deya Road Changsha, Hu'nan, 410073, China;

    National University of Defense Technology College of Information System and Management 109 Deya Road Changsha, Hu'nan, 410073, China;

    National University of Defense Technology College of Information System and Management 109 Deya Road Changsha, Hu'nan, 410073, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    image fusion; complementary catadioptric imaging; panoramic images; resolution distribution; nonsubsampled contourlet transform; resolution enhancement;

    机译:图像融合补充折反射成像全景图像;分辨率分布;非下采样Contourlet变换;分辨率增强;

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