数字全息术中图像分辨率的增强

Shuqun Zhang, Jianyang Zhou
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引用次数: 4

摘要

基于数字全息技术的三维信息处理一直受到低分辨率图像传感器对全息图像采样不足和小尺寸图像传感器限制可实现重建分辨率等问题的困扰。这些问题的现有解决方案采用迭代算法来提高全息图像的分辨率和增加图像传感器的有效尺寸,但计算成本很高。本文提出利用快速非迭代多帧图像重建技术,将多幅低分辨率全息图像组合在一起,提高数字全息图的空间分辨率。该方法以较低的计算成本提高了分辨率,提高了重建性能。为了增加图像传感器的有效尺寸和提高重建时的可实现分辨率,还提出了图像拼接的方法。仿真结果验证了所提方法的有效性。
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Image resolution enhancement in digital holography
3D information processing based on digital holography has been suffered from the problems of low-resolution image sensor that could undersample holographic images and small size of image sensor that limits the achievable reconstruction resolution. The existing solutions to these problems employ iterative algorithms to enhance the resolution of holographic images and increase effective size of image sensor, which are computationally expensive. This paper proposes to use fast noniterative multiframe image reconstruction technique for increasing the spatial resolution of digital holograms by combining multiple shifted low-resolution holographic images. The proposed method enhances the resolution with low computational cost and improves the reconstruction performance. Image stitching is also proposed to increase the effective size of image sensor and enhance the achievable resolution during reconstruction. Simulation results are presented to demonstrate the effectiveness of the proposed methods.
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