点扩散函数
点扩散函数(英语:point spread function,简称PSF)。是描述光学系统对点源解析能力的函数。因为点源在经过任何光学系统后都会由于衍射而形成一个扩大的像点。通过测量系统的点扩展函数,能够更准确地提取图像信息。
单词 | Point spread function |
释义 |
Point spread function
中文百科
点扩散函数点扩散函数(英语:point spread function,简称PSF)。是描述光学系统对点源解析能力的函数。因为点源在经过任何光学系统后都会由于衍射而形成一个扩大的像点。通过测量系统的点扩展函数,能够更准确地提取图像信息。
英语百科
Point spread function 点扩散函数![]() ![]() ![]() ![]() The point spread function (PSF) describes the response of an imaging system to a point source or point object. A more general term for the PSF is a system's impulse response, the PSF being the impulse response of a focused optical system. The PSF in many contexts can be thought of as the extended blob in an image that represents an unresolved object. In functional terms it is the spatial domain version of the transfer function of the imaging system. It is a useful concept in Fourier optics, astronomical imaging, medical imaging, electron microscopy and other imaging techniques such as 3D microscopy (like in confocal laser scanning microscopy) and fluorescence microscopy. The degree of spreading (blurring) of the point object is a measure for the quality of an imaging system. In non-coherent imaging systems such as fluorescent microscopes, telescopes or optical microscopes, the image formation process is linear in power and described by linear system theory. This means that when two objects A and B are imaged simultaneously, the result is equal to the sum of the independently imaged objects. In other words: the imaging of A is unaffected by the imaging of B and vice versa, owing to the non-interacting property of photons. The image of a complex object can then be seen as a convolution of the true object and the PSF. However, when the detected light is coherent, image formation is linear in the complex field. Recording the intensity image then can lead to cancellations or other non-linear effects. |
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