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  2. Deconvolution - Wikipedia

    en.wikipedia.org/wiki/Deconvolution

    Deconvolution maps to division in the Fourier co-domain. This allows deconvolution to be easily applied with experimental data that are subject to a Fourier transform. An example is NMR spectroscopy where the data are recorded in the time domain, but analyzed in the frequency domain. Division of the time-domain data by an exponential function ...

  3. Richardson–Lucy deconvolution - Wikipedia

    en.wikipedia.org/wiki/Richardson–Lucy...

    The Richardson–Lucy algorithm, also known as Lucy–Richardson deconvolution, is an iterative procedure for recovering an underlying image that has been blurred by a known point spread function. It was named after William Richardson and Leon B. Lucy , who described it independently.

  4. Wavefront coding - Wikipedia

    en.wikipedia.org/wiki/Wavefront_coding

    In optics and signal processing, wavefront coding refers to the use of a phase modulating element in conjunction with deconvolution to extend the depth of field of a digital imaging system such as a video camera. Wavefront coding falls under the broad category of computational photography as a technique to enhance the depth of field.

  5. Point spread function - Wikipedia

    en.wikipedia.org/wiki/Point_spread_function

    The point spread function (PSF) describes the response of a focused optical imaging system to a point source or point object. A more general term for the PSF is the system's impulse response; the PSF is the impulse response or impulse response function (IRF) of a focused optical imaging system. The PSF in many contexts can be thought of as the ...

  6. Adaptive optics - Wikipedia

    en.wikipedia.org/wiki/Adaptive_optics

    Adaptive optics (AO) is a technique of precisely deforming a mirror in order to compensate for light distortion. It is used in astronomical telescopes [1] and laser communication systems to remove the effects of atmospheric distortion, in microscopy, [2] optical fabrication [3] and in retinal imaging systems [4] to reduce optical aberrations.

  7. Blind deconvolution - Wikipedia

    en.wikipedia.org/wiki/Blind_deconvolution

    In image processing, blind deconvolution is a deconvolution technique that permits recovery of the target scene from a single or set of "blurred" images in the presence of a poorly determined or unknown point spread function (PSF). [2] Regular linear and non-linear deconvolution techniques utilize a known PSF.

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