基于水下成像系统模型的水下图像超分辨率重建技术研究

水下成像技术在诸多领域获得了越来越多的应用,然而由于受到成像器件参数、水体特性等成像系统参数的影响,水下图像的分辨率普遍较低、像质较差。基于包括点扩散函数、衍射极限等水下成像系统模型的图像超分辨率重建技术,能够在提高图像分辨率的同时增强图像质量。为了尽可能提高图像分辨率,建立了基于光束传播理论的超分辨率成像模型,并将其应用于水下脉冲激光距离选通成像结果图像的超分辨率重构。重构实验的结果表明,所提出的方法可以有效地提高水下成像的分辨率和质量。

Underwater Imaging Super-Resolution Reconstruction Based on Imaging Model

Although underwater imaging is widely used in many areas, the image quality is still significantly limited by the imaging system parameters such as image sensor parameters and optical parameters of water. The model-based image super resolution reconstruction （SRR） technique can enhance the image resolution as well as the image quality. An imaging model based on beam propagation underwater is established to help the SRR method to obtain the best resolution enhancement.This model-based SRR method is used to process some results from an underwater range-gated pulsed laser imaging system. The results suggestes that the proposed approaches can effectively enhance the resolution and quality of underwater image.