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Extended depth of field in images through complex amplitude pre-processing and optimized digital post-processing

机译:通过复杂的振幅预处理和优化的数字后处理扩展了图像的景深

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摘要

Many applications require images with high resolution and an extended depth of field. Directly changing the depth of field in optical systems results in losing resolution and information from the captured scene. Different methods have been proposed for carrying out the task of extending the depth of field. Traditional techniques consist of optical-system manipulation by reducing the pupil aperture along with the image resolution. Other methods propose the use of optical arrays with computing-intensive digital post-processing for extending the depth of field. This work proposes a pre-processing optical system and a cost-effective post-processing digital treatment based on an optimized Kalman filter to extend the depth of field in images. Results demonstrate that the proposed pre-processing and post-processing techniques provide images with high resolution and extended depth of field for different focalization errors without requiring optical system calibration. In assessing the resulting image through the universal image quality index, this technique proves superior.
机译:许多应用程序需要具有高分辨率和扩展景深的图像。在光学系统中直接改变景深会导致所捕获场景的分辨率和信息丢失。已经提出了用于执行扩展景深任务的不同方法。传统技术包括通过减小光瞳孔径以及图像分辨率来操纵光学系统。其他方法建议使用具有计算密集型数字后处理的光学阵列来扩展景深。这项工作提出了一种基于优化的卡尔曼滤波器的预处理光学系统和具有成本效益的后处理数字处理,以扩展图像的景深。结果表明,所提出的预处理和后处理技术可为不同的聚焦误差提供具有高分辨率和扩展景深的图像,而无需光学系统校准。在通过通用图像质量指标评估生成的图像时,该技术被证明是卓越的。

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