Intelligent Image De‐Blurring for Imaging Flow Cytometry

Cell Interaction Analysis by Imaging Flow Cytometry

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Iterative Methods for Image Deblurring

This tutorial paper discusses the use of iterative restoration algorithms for the removal of linear blurs from photographic Images which may also be assumed to be degraded by pointwise nonlineariries such as film saturation and additive noise. lterative algorithms are particularly attractive for this application because they allow for the incorporation of various types of prior knowledge about ...

Designing Hardware Accelerated Systems for Imaging Flow Cytometry

Adaptive-neighborhood image deblurring

This paper presents a new technique for the restoration of images degraded by a linear, shift-invariant blurring point-spread function (PSF) in the presence of additive white Gaussian noise. The algorithm uses overlapping variable-size, variable-shape adaptiveneighborhoods (ANs) to de ne stationary regions in the input image and obtains a spectral estimate of the noise in each AN region. This e...

The Image Deblurring Problem

When we use a camera, we want the recorded image to be a faithful representation of the scene that we see—but every image is more or less blurry. Thus, image deblurring is fundamental in making pictures sharp and useful. A digital image is composed of picture elements called pixels. Each pixel is assigned an intensity, meant to characterize the color of a small rectangular segment of the scene....