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Focused image recovery from two defocused images recorded with different camera settings

机译:从使用不同相机设置拍摄的两个散焦图像中进行聚焦图像恢复

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Two new methods are presented for recovering the focused image of an object from only two blurred images recorded with different camera parameter settings. First a blur parameter /spl sigma/ is estimated using one of our two recently proposed depth-from-defocus methods. Then one of the two blurred images is deconvolved to recover the focused image. The first method requires only the knowledge of /spl sigma/ of the camera's point spread function (PSF). It is based on a new spatial domain convolution/deconvolution transform. The second method requires full knowledge of the form of the PSF and is estimated using step edges. The focused image is obtained through deconvolution in the Fourier Domain using the Wiener filter. For both methods, results of experiments on actual defocused images recorded by a CCD camera are presented. The first method requires less computation and gives satisfactory results for up to medium levels of blur. The second method gives good results for up to relatively high levels of blur.
机译:提出了两种新方法,用于仅从使用不同相机参数设置记录的两个模糊图像中恢复对象的聚焦图像。首先,使用我们最近提出的两种深度离焦方法之一来估计模糊参数/ spl sigma /。然后,对两个模糊图像之一进行反卷积以恢复聚焦图像。第一种方法只需要了解相机的点扩展功能(PSF)的/ spl sigma /。它基于新的空间域卷积/解卷积变换。第二种方法需要完全了解PSF的形式,并使用阶跃边沿进行估算。通过使用维纳滤波器在傅立叶域中进行反卷积获得聚焦图像。对于这两种方法,均给出了对由CCD相机记录的实际散焦图像的实验结果。第一种方法需要较少的计算,并且对于中等程度的模糊,都能给出令人满意的结果。第二种方法在达到相对较高的模糊水平时可提供良好的结果。

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