In optics and imaging, the term "deconvolution" is specifically used to refer to the process of reversing the optical distortion that takes place in an optical microscope, electron microscope, telescope, or …

Jul 23, 2025 · Deconvolution is a computational process that aims to invert a convolution operation, reconstructing the original signal or image from its convolved representation.

Jul 10, 2025 · Deconvolution is a computational technique that helps address this issue. It uses the point spread function (PSF) of your microscope—a model of how a single point of light behaves in your …

For widefield microscopy, deconvolution is the method of choice to improve image quality. The algorithm reassigns the out-of-focus blur in the 3D stack, the primary source of noise in widefield microscopy, …

In practice, the deconvolution of one signal from another is usually performed by point-by-point division of the two signals in the Fourier domain, that is, dividing the Fourier transforms of the two signals …

Deconvolution is a temporal process that removes the effect of the source wavelet from the recorded A-Scan trace and compresses the recorded GPR wavelet into a narrow and distinct form (Irving & …

Deconvolution is a computationally intensive image processing technique that is being increasingly utilized for improving the contrast and resolution of digital images captured in the microscope.

May 21, 2024 · Deconvolution is the process of removing signal degradation from recorded data. Signals have two primary ways of being damaged: either the signal is created or recorded incorrectly or the …

Several approaches to deconvolution and deblurring exist from simple subtractive methods to complex iterative approaches. The major approaches will be examined.

Dec 3, 2025 · Deconvolution is ill-posed and will usually not have a unique solution even in the absence of noise. Linear deconvolution algorithms include inverse filtering and Wiener filtering.