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Wavelet-Based Image Registration With JPEG2000 Compressed Imagery

机译:JPEG2000压缩图像的基于小波的图像配准

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This paper describes a registration algorithm for aligning large frame imagery compressed with the JPEG2000 compression standard. The images are registered in the compressed domain using wavelet-based techniques. Unlike traditional approaches, our proposed method eliminates the need to reconstruct the full image prior to performing registration. The proposed method is highly scalable allowing registration to be performed on selectable resolution levels, quality layers, and regions of interest. The use of the hierarchical nature of the wavelet transform also allows for the trade-off between registration accuracy and processing speed. We present the results from our simulations to demonstrate the feasibility of the proposed technique in real-world scenarios with streaming sources. The wavelet-based approach maintains compatibility with JPEG2000 and enables additional features not offered by traditional approaches.
机译:本文介绍了一种对齐算法,该算法用于对齐以JPEG2000压缩标准压缩的大帧图像。使用基于小波的技术将图像记录在压缩域中。与传统方法不同,我们提出的方法消除了在执行配准之前重建完整图像的需要。所提出的方法是高度可扩展的,从而允许在可选的分辨率级别,质量层和感兴趣的区域上执行注册。小波变换的分层性质的使用还允许在配准精度和处理速度之间进行折衷。我们提供了来自仿真的结果,以证明所提出的技术在具有流媒体源的真实场景中的可行性。基于小波的方法保持与JPEG2000的兼容性,并启用传统方法未提供的其他功能。

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